187 Statistical Modeling jobs in India

**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

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning
Location: Remote (India)
Job Type: Full-time
Experience: 5+ Years

Job Summary:
We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.
You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
Perform model validation, tuning, and performance monitoring.
Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

Design scalable and secure ETL pipelines using AWS Glue.
Manage and optimize data infrastructure in the AWS environment.
Ensure high data integrity and availability across the pipeline.
Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

Write efficient, reusable Python code for data processing and model development.
Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
Maintain documentation and ensure best coding practices.

Collaboration & Communication

Work with engineering, analytics, and business teams to understand and solve business challenges.
Present complex models and insights to both technical and non-technical stakeholders.
Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
Exposure to Generative AI technologies.
Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

Master’s in Computer Science, Statistics, Mathematics, or a related field.
5+ years of relevant experience in data science, predictive modeling, and machine learning.
Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).
• Exposure to Generative AI technologies.
• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).