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Sr Specialist Data Scientist (machine learning, statistical modeling and NLP applications)
Bengaluru, Karnataka
AT&T
Posted today
Job Viewed
Job Description
**Job Description:**
**Key Responsibilities**
**Text Embeddings & NLP**
- Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval.
- Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings.
- Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces.
- Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering.
- Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems.
***Traditional Machine Learning & Statistical Modeling***
- Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering.
- Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA).
- Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics.
- Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability.
**Experimentation & Causal Inference**
- Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences.
- Translate experimental results into clear, actionable business insights that drive measurable outcomes.
**Data Engineering & Productionization**
- Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB.
- Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift.
***Collaboration & Leadership***
- Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions.
- Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth.
- Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
**Required Skills and Qualifications**
Hands-on experience in machine learning, statistical modeling, and NLP applications.
- Deep expertise in text embeddings and their real-world applications.
- Proficiency in Python, PySpark, and SQL.
- Strong foundation in statistical inference, model diagnostics, and evaluation metrics.
- Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models.
- Proven ability to design, execute, and interpret experiments with statistical rigor.
**Preferred (Good-to-Have) Skills**
- Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs.
- Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services.
- Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems.
**Day-to-Day Responsibilities**
You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
**Key Responsibilities**
**Text Embeddings & NLP**
- Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval.
- Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings.
- Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces.
- Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering.
- Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems.
***Traditional Machine Learning & Statistical Modeling***
- Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering.
- Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA).
- Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics.
- Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability.
**Experimentation & Causal Inference**
- Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences.
- Translate experimental results into clear, actionable business insights that drive measurable outcomes.
**Data Engineering & Productionization**
- Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB.
- Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift.
***Collaboration & Leadership***
- Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions.
- Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth.
- Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
**Required Skills and Qualifications**
Hands-on experience in machine learning, statistical modeling, and NLP applications.
- Deep expertise in text embeddings and their real-world applications.
- Proficiency in Python, PySpark, and SQL.
- Strong foundation in statistical inference, model diagnostics, and evaluation metrics.
- Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models.
- Proven ability to design, execute, and interpret experiments with statistical rigor.
**Preferred (Good-to-Have) Skills**
- Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs.
- Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services.
- Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems.
**Day-to-Day Responsibilities**
You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Bangalore, Karnataka
World Wide Technology
Posted today
Job Viewed
Job Description
**Required Skills:**
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Gurgaon, Haryana
World Wide Technology
Posted today
Job Viewed
Job Description
**Required Skills:**
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Hyderabad, Andhra Pradesh
World Wide Technology
Posted today
Job Viewed
Job Description
**Required Skills:**
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist
Pune, Maharashtra
World Wide Technology
Posted today
Job Viewed
Job Description
**Required Skills:**
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Mumbai, Maharashtra
World Wide Technology
Posted today
Job Viewed
Job Description
**Required Skills:**
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
Noida, Uttar Pradesh
UnitedHealth Group
Posted today
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers.
**Primary Responsibilities:**
+ Assist in developing and implementing machine learning models for healthcare applications
+ Work with structured and unstructured data to build predictive and analytical models
+ Collaborate with cross-functional teams including data engineers, product managers, and domain experts
+ Support the development and maintenance of data pipelines for model training and inference
+ Contribute to the deployment and monitoring of ML models in production environments
+ Apply standard ML and NLP techniques such as classification, entity recognition, and text summarization
+ Use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development
+ Write clean, efficient code in Python and use version control tools like Git
+ Document model development processes and results clearly for both technical and non-technical stakeholders
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
+ 2+ years of experience in data science, machine learning, or analytics
+ Hands-on experience with ML and NLP techniques such as supervised learning, deep learning, and text classification
+ Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch
+ Familiarity with data processing tools such as PySpark or SQL
+ Proven solid problem-solving skills and ability to work in a collaborative environment
**Preferred Qualifications:**
+ Experience working with cloud platforms (e.g., AWS, Azure, or GCP)
+ Understanding of APIs and basic web frameworks like Flask or FastAPI
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#njp
#SStech
#SSF&A
At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers.
**Primary Responsibilities:**
+ Assist in developing and implementing machine learning models for healthcare applications
+ Work with structured and unstructured data to build predictive and analytical models
+ Collaborate with cross-functional teams including data engineers, product managers, and domain experts
+ Support the development and maintenance of data pipelines for model training and inference
+ Contribute to the deployment and monitoring of ML models in production environments
+ Apply standard ML and NLP techniques such as classification, entity recognition, and text summarization
+ Use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development
+ Write clean, efficient code in Python and use version control tools like Git
+ Document model development processes and results clearly for both technical and non-technical stakeholders
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
+ 2+ years of experience in data science, machine learning, or analytics
+ Hands-on experience with ML and NLP techniques such as supervised learning, deep learning, and text classification
+ Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch
+ Familiarity with data processing tools such as PySpark or SQL
+ Proven solid problem-solving skills and ability to work in a collaborative environment
**Preferred Qualifications:**
+ Experience working with cloud platforms (e.g., AWS, Azure, or GCP)
+ Understanding of APIs and basic web frameworks like Flask or FastAPI
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#njp
#SStech
#SSF&A
This advertiser has chosen not to accept applicants from your region.
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About the latest Data scientist Jobs in India !
6
Data Scientist
Bengaluru, Karnataka
Burns & McDonnell
Posted today
Job Viewed
Job Description
**Description** We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics.
As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities:
+ Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction
+ Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses
+ Define metrics and create dashboards to measure product performance
+ Generate insights through deep-dive analysis to inform strategy and prioritization
+ Collaborate with product, engineering, and marketing stakeholders to define the product roadmap
+ Identify opportunities and initiate new data science projects that drive company OKRs
+ Communicate technical insights effectively to influence decision-making
**Qualifications**
+ You have a Master's degree in a relevant quantitative field (e.g.
**data science** , computer science, statistics, economics) or
**equivalent in industry experience**
+ You have 5-8 years of experience as a data scientist supporting product development
+ You are an expert in
**SQL**
+ You are proficient in either R or
**Python** for data analysis
+ You have successfully developed and launched
**ML models** with quantifiable business impact
+ You have experience designing and analyzing
**A/B testing** experiments and guide product decisions with experimental insights
+ You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch
**Job** Information Technology
**Primary Location** India-Karnataka-Bengaluru
**Schedule:** Full-time
**Travel:** No
**Req ID:** 251423
**Job Hire Type** Experienced Not Applicable #BMI N/A
As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities:
+ Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction
+ Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses
+ Define metrics and create dashboards to measure product performance
+ Generate insights through deep-dive analysis to inform strategy and prioritization
+ Collaborate with product, engineering, and marketing stakeholders to define the product roadmap
+ Identify opportunities and initiate new data science projects that drive company OKRs
+ Communicate technical insights effectively to influence decision-making
**Qualifications**
+ You have a Master's degree in a relevant quantitative field (e.g.
**data science** , computer science, statistics, economics) or
**equivalent in industry experience**
+ You have 5-8 years of experience as a data scientist supporting product development
+ You are an expert in
**SQL**
+ You are proficient in either R or
**Python** for data analysis
+ You have successfully developed and launched
**ML models** with quantifiable business impact
+ You have experience designing and analyzing
**A/B testing** experiments and guide product decisions with experimental insights
+ You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch
**Job** Information Technology
**Primary Location** India-Karnataka-Bengaluru
**Schedule:** Full-time
**Travel:** No
**Req ID:** 251423
**Job Hire Type** Experienced Not Applicable #BMI N/A
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist
Mumbai, Maharashtra
Abbott
Posted today
Job Viewed
Job Description
**About the Advanced Analytics team**
The central Advanced Analytics team at the Abbott Established Pharma Division's (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.
**Primary Job Function:**
With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide.
**Core Job Responsibilities:**
The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. They
+ Participate/drive data collection, cleaning, analysis and interpretation (EDA).
+ Collaborate with the business partner and product owners to ideate on solutions to challenging problems.
+ Generate insightful visualizations to communicate findings.
+ Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team).
+ Write high quality code with possibility of deployment in mind.
+ Share the learnings and findings with other data scientists contributing to the collaborative environment.
+ Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks.
+ Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible.
+ Keep himself/herself committed to continuous learning about the latest trends and technologies.
+ Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality.
+ Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements.
+ Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs.
**Supervisory/Management Responsibilities:**
+ **Direct Reports:** None.
+ **Indirect Reports:** None.
**Position Accountability/Scope:**
The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies.
**Minimum Education:**
Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
**Minimum Experience:**
+ At least 3-5 years of relevant working experience, ideally in pharma environment
+ Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).
+ Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms
+ Proven problem-solving ability in international settings preferably with developing markets
+ Proven experience in working in cloud environment preferably AWS / Sagemaker
+ Strong experience working on full-life cycle data science; experience in applying data science methods to business problems
+ Practical experience in deploying machine learning solutions
+ Strong understanding of good software engineering principles and best practices
+ Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus
+ Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders
+ Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision
+ Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques
+ Strong experience building and debugging complex SQL queries
+ Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios
+ Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders
+ Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes
+ Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable
+ Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization
+ Fluency in English a must, additional languages a plus
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
The central Advanced Analytics team at the Abbott Established Pharma Division's (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.
**Primary Job Function:**
With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide.
**Core Job Responsibilities:**
The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. They
+ Participate/drive data collection, cleaning, analysis and interpretation (EDA).
+ Collaborate with the business partner and product owners to ideate on solutions to challenging problems.
+ Generate insightful visualizations to communicate findings.
+ Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team).
+ Write high quality code with possibility of deployment in mind.
+ Share the learnings and findings with other data scientists contributing to the collaborative environment.
+ Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks.
+ Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible.
+ Keep himself/herself committed to continuous learning about the latest trends and technologies.
+ Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality.
+ Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements.
+ Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs.
**Supervisory/Management Responsibilities:**
+ **Direct Reports:** None.
+ **Indirect Reports:** None.
**Position Accountability/Scope:**
The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies.
**Minimum Education:**
Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
**Minimum Experience:**
+ At least 3-5 years of relevant working experience, ideally in pharma environment
+ Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).
+ Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms
+ Proven problem-solving ability in international settings preferably with developing markets
+ Proven experience in working in cloud environment preferably AWS / Sagemaker
+ Strong experience working on full-life cycle data science; experience in applying data science methods to business problems
+ Practical experience in deploying machine learning solutions
+ Strong understanding of good software engineering principles and best practices
+ Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus
+ Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders
+ Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision
+ Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques
+ Strong experience building and debugging complex SQL queries
+ Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios
+ Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders
+ Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes
+ Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable
+ Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization
+ Fluency in English a must, additional languages a plus
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
This advertiser has chosen not to accept applicants from your region.
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