Explore exciting Data Scientist job opportunities in 102 Data Scientist jobs in Chennai
Data Scientist
Chennai, Tamil Nadu
Cognizant
Posted 1 day ago
Job Viewed
Job Description
**Title: Data Scientist**
**Location: Chennai**
**Job Description:**
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
1. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
2. Improve Model accuracy to deliver greater business impact
3. Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development - Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
1. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
2. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
3. Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
1. Deployment of models in Test / Control framework for tracking
2. Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
**Technology/Subject Matter Expertise:**
+ Sufficient expertise in machine learning, mathematical and statistical sciences
+ Use of versioning & Collaborative tools like Git / Github
+ Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
+ Develop prototype level ideas into a solution that can scale to industrial grade strength
+ Ability to quantify & estimate the impact of ML models
**Soft skills Profile:**
+ Curiosity to think in fresh and unique ways with the intent of breaking new ground.
+ Must have the ability to share, explain and "sell" their thoughts, processes, ideas and opinions, even outside their own span of control
+ Ability to think ahead, and anticipate the needs for solving the problem will be important
+ Ability to communicate key messages effectively, and articulate strong opinions in large forums
**Desirable Experience:**
+ Keen contributor to open source communities, and communities like Kaggle
+ Ability to process Huge amount of Data using Pyspark/Hadoop
+ Development & Application of Reinforcement Learning
+ Knowledge of Optimization/Genetic Algorithms
+ Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
+ Optimize and tune deep learning model for best possible accuracy
+ Understanding of stream data processing, RPA, edge computing, AR/VR etc
+ Appreciation of digital ethics, data privacy will be important
+ Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
+ Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
**Location: Chennai**
**Job Description:**
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
1. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
2. Improve Model accuracy to deliver greater business impact
3. Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development - Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
1. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
2. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
3. Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
1. Deployment of models in Test / Control framework for tracking
2. Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
**Technology/Subject Matter Expertise:**
+ Sufficient expertise in machine learning, mathematical and statistical sciences
+ Use of versioning & Collaborative tools like Git / Github
+ Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
+ Develop prototype level ideas into a solution that can scale to industrial grade strength
+ Ability to quantify & estimate the impact of ML models
**Soft skills Profile:**
+ Curiosity to think in fresh and unique ways with the intent of breaking new ground.
+ Must have the ability to share, explain and "sell" their thoughts, processes, ideas and opinions, even outside their own span of control
+ Ability to think ahead, and anticipate the needs for solving the problem will be important
+ Ability to communicate key messages effectively, and articulate strong opinions in large forums
**Desirable Experience:**
+ Keen contributor to open source communities, and communities like Kaggle
+ Ability to process Huge amount of Data using Pyspark/Hadoop
+ Development & Application of Reinforcement Learning
+ Knowledge of Optimization/Genetic Algorithms
+ Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
+ Optimize and tune deep learning model for best possible accuracy
+ Understanding of stream data processing, RPA, edge computing, AR/VR etc
+ Appreciation of digital ethics, data privacy will be important
+ Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
+ Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Chennai, Tamil Nadu
Logitech
Posted 1 day ago
Job Viewed
Job Description
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
Location: Chennai, India
Team: Marketing Digital Transformation
Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory)
Experience Level: 8+ years
**About the Role:**
We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences.
**Your Contribution:**
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you'll need for success at Logitech
In this role you will:
+ Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution).
+ Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts.
+ Build, evaluate and deploy predictive models using Python and associated data science libraries
+ Develop reproducible data science workflows and analysis in Jupyter Notebooks
+ Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations
+ Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions
+ Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments
+ Work with structured and unstructured data; design and manage efficient data pipelines and database structures
+ Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data.
+ Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure.
**Career Path & Growth Opportunities:**
Visible Growth Path:
+ Team members can witness real, measurable career progression.
+ Many have advanced to pivotal roles, contributing to the development of digital office features and organizational transformation, especially in data analytics.
Cross-Functional Experience:
+ Hands-on integration: Collaborate on aligning commercial, marketing, and customer data platforms across different domains.
+ Strategic exposure: Transition these data assets into a scalable Snowflake platform, a modern cloud-based data warehousing framework.
Cultural Strength:
+ Ownership/accountability: Volunteer for initiatives that require leadership.
+ Curiosity and critical thinking: Embrace curiosity by exploring new technologies or data methodologies and aim to ask insightful questions to navigate challenges creatively and unlock opportunities.
**Key Qualifications:**
**Education & Experience:**
+ Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field.
+ Minimum of 8 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics
**Technical and Human Skills:**
+ Strong proficiency in Python for data analysis, statistical modeling, and machine learning
+ Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design
+ Proficiency with SQL and strong understanding of data structures and databases
+ Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda.)
+ Experience with Tableau or similar dashboarding/BI tool
+ Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation
+ Advanced professional proficiency in English, both written and verbal.
+ Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment
+ Strong communication skills with the ability to present and engage with non-technical stakeholders
#LI-MR2
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don't meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at for assistance and we will get back to you as soon as possible.
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
Location: Chennai, India
Team: Marketing Digital Transformation
Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory)
Experience Level: 8+ years
**About the Role:**
We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences.
**Your Contribution:**
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you'll need for success at Logitech
In this role you will:
+ Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution).
+ Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts.
+ Build, evaluate and deploy predictive models using Python and associated data science libraries
+ Develop reproducible data science workflows and analysis in Jupyter Notebooks
+ Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations
+ Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions
+ Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments
+ Work with structured and unstructured data; design and manage efficient data pipelines and database structures
+ Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data.
+ Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure.
**Career Path & Growth Opportunities:**
Visible Growth Path:
+ Team members can witness real, measurable career progression.
+ Many have advanced to pivotal roles, contributing to the development of digital office features and organizational transformation, especially in data analytics.
Cross-Functional Experience:
+ Hands-on integration: Collaborate on aligning commercial, marketing, and customer data platforms across different domains.
+ Strategic exposure: Transition these data assets into a scalable Snowflake platform, a modern cloud-based data warehousing framework.
Cultural Strength:
+ Ownership/accountability: Volunteer for initiatives that require leadership.
+ Curiosity and critical thinking: Embrace curiosity by exploring new technologies or data methodologies and aim to ask insightful questions to navigate challenges creatively and unlock opportunities.
**Key Qualifications:**
**Education & Experience:**
+ Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field.
+ Minimum of 8 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics
**Technical and Human Skills:**
+ Strong proficiency in Python for data analysis, statistical modeling, and machine learning
+ Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design
+ Proficiency with SQL and strong understanding of data structures and databases
+ Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda.)
+ Experience with Tableau or similar dashboarding/BI tool
+ Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation
+ Advanced professional proficiency in English, both written and verbal.
+ Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment
+ Strong communication skills with the ability to present and engage with non-technical stakeholders
#LI-MR2
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don't meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at for assistance and we will get back to you as soon as possible.
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Chennai, Tamil Nadu
UPS
Posted 1 day ago
Job Viewed
Job Description
**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Chennai, Tamil Nadu
UPS
Posted 1 day ago
Job Viewed
Job Description
**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
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3
Data Scientist
Chennai, Tamil Nadu
Canvendor
Posted 2 days ago
Job Viewed
Job Description
#Hiring : Data Scientist (1-4 Years Experience) | Chennai | Immediate Joiners Preferred
Job Title: Data Scientist
Location: Chennai
Experience Level: 1-4Years
Notice Period : Immediate to 15 Days
Key Requirements:
- 1–4 years of experience as a Data Scientist or in a similar role.
- Exceptional problem-solving ability – simplify complexity and derive first-principles solutions.
- Strong ownership mindset – not just delivering outputs, but ensuring problems are truly solved.
- Proficient in Python & SQL, Excel, with ability to apply ML, Deep Learning, Data Visualization techniques and time-series techniques where appropriate.
- Experience working with large-scale, messy, real-world datasets.
- Ability to thrive in a high-speed, high-ambiguity startup environment.
- Strong communication and collaboration skills; a good team fit without unnecessary baggage
Bonus Points:
- Experience with Gen AI & distributed data systems (Snowflake, Spark, Kafka, etc.).
- Knowledge of fleet/automotive/IoT/telemetry data.
- Hands-on experience with anomaly detection, forecasting, or optimization problems
If interested kindly share your updated CV to
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4
Data Scientist
Chennai, Tamil Nadu
Three Across
Posted 2 days ago
Job Viewed
Job Description
Job Title: Data Scientist
Experience: 5+ Years
Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram
Industry: Must be from BPO/KPO or Healthcare Org. or Shared Services
Key Responsibilities:
AI/ML Development & Research
- Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
- Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
- Build agent-based AI systems with autonomous decision-making capabilities.
- Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
- Perform model evaluation, validation, and continuous optimization to ensure high performance.
Cloud Infrastructure & Full-Stack Development:
- Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.
- Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
- Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).
- Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
- Design and optimize cloud infrastructure to support high-performance computing workloads.
Data Engineering & Database Management
- Design and implement data pipelines to enable large-scale data processing and real-time analytics.
- Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
- Optimize database performance to support machine learning workloads and real-time applications.
- Implement robust data governance frameworks and ensure data quality assurance practices.
- Manage and process streaming data to enable real-time decision-making.
Leadership & Collaboration
- Mentor junior data scientists and assist in technical decision-making to drive innovation.
- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.
- Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
- Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.
Required Qualifications:
- Education & Experience
- Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
- 3+ years of experience working with deep learning frameworks and neural networks.
- 2+ years of experience with cloud platforms and full-stack development.
Technical Skills - Core AI/ML
- Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
- Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
- Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
- Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
- Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
Technical Skills - Development & Infrastructure
- Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
- Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
- Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
- Full-Stack Development: Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes.
- MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.
- Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.
Non Negotiables:
- Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
- Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
- Implement CI/CD pipelines for ML model deployment and monitoring
- Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
- Machine Learning: Scikit-learn
- Deep Learning: TensorFlow
- Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
- Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda)
- vector databases and embeddings (Pinecone, Weaviate, Chroma)
- Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.
If interested, please share your resume to
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5
Data Scientist
Chennai, Tamil Nadu
EXL
Posted 2 days ago
Job Viewed
Job Description
Skills/ Qualifications Required:
Experience- 3+years
· Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation
· Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling), NLP
· Proficient in tools / languages like SQL, Python, MS Excel, and Visualization basics
· Good understanding of Probability & Statistics
· Hands-on experience in Azure is a plus
· Good communication skills
Job Responsibilities
· Data collation, processing, cleaning & transformation along with feature engineering and model development.
· Hands-on with model training, evaluation & fine tuning.
· Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)
· Actively own & manage client deliverables.
· Effectively engage with client & translate client business requirements into equivalent analytical problems.
· Understand data and different platforms used by the client.
· Actively contribute towards design methodology for problem solving.
· Analyze large & complex data sets to derive valuable insights.
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About the latest Data scientist Jobs in Chennai !
6
Data Scientist
Chennai, Tamil Nadu
Canvendor
Posted 2 days ago
Job Viewed
Job Description
#Hiring : Data Scientist (1 to 4 Years Experience) |Chennai| Immediate Joiners Preferred
Location: Chennai, India
Experience: 1 to 4 Years
Notice period: Immediate to 30days
Mandatory: Python, SQL, Product based company
-1–4 years of experience as a #Data_Scientist or in a similar role.
Exceptional problem-solving ability – simplify complexity and derive first-principles solutions.
-Strong ownership mindset – not just delivering outputs, but ensuring problems are truly sloved.
-Proficient in #Python & #SQL , Excel, with ability to apply #ML , Deep Learning, --#Data_Visualisation techniques and time-series techniques where appropriate.
-Experience working with large-scale, messy, real-world datasets.
If interested kindly share your updated CV to
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7
Data Scientist
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 6 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 3+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
This advertiser has chosen not to accept applicants from your region.
8
Data Scientist
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 6 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 3+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
This advertiser has chosen not to accept applicants from your region.
9