7,860 Data Science Manager jobs in India
Data Science Manager
Posted 3 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
Wooble is a career accelerator where students and professionals can showcase real projects and build proof-of-work portfolios for free. Through project-based learning launchpads, Wooble enables individuals to stand out in their fields and advance their careers effectively.
This is a full-time on-site role located in Bhubaneswar for a Data Science Manager. The Data Science Manager will be responsible for overseeing data projects, managing data analysts and scientists, and ensuring the application of appropriate data science techniques. Daily tasks will include statistical modeling, developing data strategies, and analyzing complex data sets to derive actionable insights for business decision-making.
- Statistical Modeling and Statistics skills
- Data Science and Data Analytics skills
- Strong Analytical Skills
- Proficiency in data analysis tools and programming languages such as R or Python
- Excellent communication and leadership abilities
- Relevant experience in managing data science teams and projects
- Master's degree in Data Science, Statistics, Computer Science, or related field
Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
Research Manager – Machine Learning (RESEARCH SCIENCES)
About Data Sciences Group at Flipkart:
The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
In a nutshell, the terabytes of daily data compounded in Flipkart’s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
What this job entails:
As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning & Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart’s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
- Closely work with the Data Science team to formulate data-led solutions and models
- Use advanced Machine Learning techniques to enable key business goals
- Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
- Should have thorough understanding of key AI and ML techniques — If not all — spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
Key Roles & Responsibilities:
The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search—all of which just form the tip of the iceberg. In this role, you will be responsible to:
- Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
- Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart’s ecosystem
- Ensure timely deployment of models in a high-pace business, large-scale production environment
- Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
- Build deep partnerships with business, product management, and technology leaders
- Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
- Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
- Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
Our Associations & Collaborations:
Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities — like CMU, IIT's, IISc and IIIT’s — for developing class-leading solutions in the e-commerce sector.
At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
Basic Qualification:
Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
Data Science Manager
Posted 8 days ago
Job Viewed
Job Description
Wooble is a career accelerator where students and professionals can showcase real projects and build proof-of-work portfolios for free. Through project-based learning launchpads, Wooble enables individuals to stand out in their fields and advance their careers effectively.
This is a full-time on-site role located in Bhubaneswar for a Data Science Manager. The Data Science Manager will be responsible for overseeing data projects, managing data analysts and scientists, and ensuring the application of appropriate data science techniques. Daily tasks will include statistical modeling, developing data strategies, and analyzing complex data sets to derive actionable insights for business decision-making.
- Statistical Modeling and Statistics skills
- Data Science and Data Analytics skills
- Strong Analytical Skills
- Proficiency in data analysis tools and programming languages such as R or Python
- Excellent communication and leadership abilities
- Relevant experience in managing data science teams and projects
- Master's degree in Data Science, Statistics, Computer Science, or related field
Data Science Manager
Posted 8 days ago
Job Viewed
Job Description
Wooble is a career accelerator where students and professionals can showcase real projects and build proof-of-work portfolios for free. Through project-based learning launchpads, Wooble enables individuals to stand out in their fields and advance their careers effectively.
This is a full-time on-site role located in Bhubaneswar for a Data Science Manager. The Data Science Manager will be responsible for overseeing data projects, managing data analysts and scientists, and ensuring the application of appropriate data science techniques. Daily tasks will include statistical modeling, developing data strategies, and analyzing complex data sets to derive actionable insights for business decision-making.
- Statistical Modeling and Statistics skills
- Data Science and Data Analytics skills
- Strong Analytical Skills
- Proficiency in data analysis tools and programming languages such as R or Python
- Excellent communication and leadership abilities
- Relevant experience in managing data science teams and projects
- Master's degree in Data Science, Statistics, Computer Science, or related field
Data Science Manager
Posted today
Job Viewed
Job Description
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
Develop and execute our organization's vision and strategy for generative AI and LLM applications
Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
Identify high-impact business opportunities where LLMs can deliver significant value
Establish roadmaps for AI implementation hat align with broader organizational goals
Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
Oversee the design, development, and optimization of LLM-based applications
Guide the selection, customization, and fine-tuning of language models for specific use cases
Establish architecture and frameworks for integrating LLMs into existing products and services
Implement best practices for prompt engineering, context handling, and model evaluation
Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
Build and mentor a talented team of AI specialists with expertise in generative models
Create a collaborative environment that fosters innovation and knowledge sharing
Set clear objectives and performance expectations for team members
Recruit, develop, and retain top AI talent in a competitive market
Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
Partner with business leaders to translate organizational needs into AI solutions
Collaborate with product, engineering, and design teams to integrate AI capabilities
Communicate complex AI concepts effectively to various stakeholders
Work with legal and compliance teams to ensure responsible AI deployment
Drive AI literacy and adoption across the organization
Experience
10+ years of experience in artificial intelligence or machine learning
5+ years of hands-on experience with LLMs and generative AI technologies
5+ years in leadership roles managing technical teams
Proven track record of successfully implementing AI solutions in production environments
Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
Deep understanding of LLM architectures, capabilities, and limitations
Expertise in natural language processing and generative AI techniques
Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
Experience with MLOps and AI deployment infrastructures
Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
Strong strategic thinking and business acumen
Excellent communication and stakeholder management abilities
Team leadership and mentoring capabilities
Problem-solving mindset and ability to drive innovation
Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
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About the latest Data science manager Jobs in India !
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Wooble is a career accelerator where students and professionals can showcase real projects and build proof-of-work portfolios for free. Through project-based learning launchpads, Wooble enables individuals to stand out in their fields and advance their careers effectively.
Role Description
This is a full-time on-site role located in Bhubaneswar for a Data Science Manager. The Data Science Manager will be responsible for overseeing data projects, managing data analysts and scientists, and ensuring the application of appropriate data science techniques. Daily tasks will include statistical modeling, developing data strategies, and analyzing complex data sets to derive actionable insights for business decision-making.
Qualifications
- Statistical Modeling and Statistics skills
- Data Science and Data Analytics skills
- Strong Analytical Skills
- Proficiency in data analysis tools and programming languages such as R or Python
- Excellent communication and leadership abilities
- Relevant experience in managing data science teams and projects
- Master's degree in Data Science, Statistics, Computer Science, or related field
Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
About Data Sciences Group at Flipkart:
The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
In a nutshell, the terabytes of daily data compounded in Flipkart’s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
What this job entails:
As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning & Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart’s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
- Closely work with the Data Science team to formulate data-led solutions and models
- Use advanced Machine Learning techniques to enable key business goals
- Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
- Should have thorough understanding of key AI and ML techniques — If not all — spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
Key Roles & Responsibilities:
The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search—all of which just form the tip of the iceberg. In this role, you will be responsible to:
- Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
- Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart’s ecosystem
- Ensure timely deployment of models in a high-pace business, large-scale production environment
- Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
- Build deep partnerships with business, product management, and technology leaders
- Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
- Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
- Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
Our Associations & Collaborations:
Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities — like CMU, IIT's, IISc and IIIT’s — for developing class-leading solutions in the e-commerce sector.
At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
Basic Qualification:
Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
Data Science Manager
Posted today
Job Viewed
Job Description
Research Manager – Machine Learning (RESEARCH SCIENCES)
About Data Sciences Group at Flipkart:
The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
In a nutshell, the terabytes of daily data compounded in Flipkart’s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
What this job entails:
As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning & Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart’s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
- Closely work with the Data Science team to formulate data-led solutions and models
- Use advanced Machine Learning techniques to enable key business goals
- Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
- Should have thorough understanding of key AI and ML techniques — If not all — spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
Key Roles & Responsibilities:
The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search—all of which just form the tip of the iceberg. In this role, you will be responsible to:
- Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
- Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart’s ecosystem
- Ensure timely deployment of models in a high-pace business, large-scale production environment
- Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
- Build deep partnerships with business, product management, and technology leaders
- Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
- Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
- Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
Our Associations & Collaborations:
Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities — like CMU, IIT's, IISc and IIIT’s — for developing class-leading solutions in the e-commerce sector.
At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
Basic Qualification:
Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.