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ai product manager

Triomics

<div>
 
 
 About Triomics:
 
 
 
 Triomics is building the modern technology stack for oncology trial sites and investigators that unifies the workflows of clinical care and clinical research, moving the healthcare industry closer to the vision of Clinical Research as a Care Option. Our platform, which is based on our proprietary oncology-focused large language model (OncoLLM&trade;) co-developed with several leading cancer centers, eliminates the operational inefficiencies in patient recruitment, data curation, and other laborious tasks involved in clinical research, thus enabling the generation of high-quality data and speeding up the clinical trials.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ol>
 <li>
 Translating business problems into AI solutions by identifying opportunities where AI can add value
 </li>
 <li>
 Working closely with data engineers, NLP engineers and stakeholders to define product requirements and metrics
 </li>
 <li>
 Prioritizing AI features and capabilities based on technical feasibility, business impact, and resource constraints
 </li>
 <li>
 Managing the ethical dimensions of AI, including bias mitigation, transparency, and responsible deployment
 </li>
 <li>
 Creating roadmaps for AI product development that balance short-term deliverables with long-term vision
 </li>
 <li>
 Create design briefs and collaborate with the design team to create wireframes and designs
 </li>
 <li>
 Have technical understanding of machine learning concepts, data requirements, model performance metrics, and the unique deployment challenges of AI systems
 </li>
 </ol>
 
 
 
 
 
 Required Qualifications:
 
 
 <ol>
 <li>
 More than four years of work experience working in Product Management and at least 1.5 years of work experience in the AI domain
 </li>
 <li>
 Good communication skills, organizational and problem solving skills with great attention to detail, including the ability to track multiple development executions simultaneously and analyze the results
 </li>
 <li>
 An understanding and empathy for users
 </li>
 <li>
 The ability to structure and analyze ambiguous problems and the ability to communicate ideas clearly through workflows, feature descriptions etc.
 </li>
 <li>
 The candidate must be self-motivated and driven with a go-getter attitude. He/she must be persuasive without being forceful
 </li>
 </ol>
 
 
 
 
 
 Why Join Us?
 
 
 
 1. We are revolutionizing a unique industry that has the potential to impact and benefit patients
 
 
 from all over the world - you can create impact at scale.
 
 
 2. We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
 
 
 3. We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
 
 
 4. You will get a chance to work with experts from multiple industries, the best in the industry
 
 
 compensation, and to continue building your own (and, of course, new) projects.
 
</div>

AI Product Manager

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Role
 
 
 
 We&rsquo;re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.
 
 
 We&rsquo;re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization&mdash;someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.
 
 
 In this high-agency, startup-like role, you&rsquo;ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Define &amp; Implement Product Knowledge Strategy &ndash; Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.
 </li>
 <li>
 Drive AI-Powered Taxonomy &amp; Ontology Development &ndash; Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.
 </li>
 <li>
 Improve Search &amp; Product Discovery &ndash; Ensure our structured product data directly enhances search relevance, filtering, and recommendation algorithms.
 </li>
 <li>
 Develop &amp; Enforce Data Standards &ndash; Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.
 </li>
 <li>
 Enable LLMs for Product Knowledge &ndash; Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.
 </li>
 <li>
 Measure &amp; Iterate &ndash; Define key metrics and evaluation frameworks to track the impact of structured data improvements on search, recommendations, and personalization.
 </li>
 <li>
 Deeply Integrate with AI/ML Teams &ndash; Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Product Leadership in Data/AI &ndash; 10+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.
 </li>
 <li>
 AI &amp; Data Fluency &ndash; Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.
 </li>
 <li>
 Taxonomy &amp; Ontology Expertise &ndash; Strong understanding of product classification, metadata structuring, and entity resolution techniques.
 </li>
 <li>
 Search &amp; Discovery Focus &ndash; Experience optimizing product search, recommendations, and structured navigation.
 </li>
 <li>
 Technical Comfort &ndash; Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.
 </li>
 <li>
 High-Agency &amp; Execution-Driven &ndash; Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.
 </li>
 <li>
 Strong Analytical &amp; Communication Skills &ndash; Ability to translate data-driven insights into clear product strategies.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Shape the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.
 </li>
 <li>
 Work in a high-agency, startup-like culture where your decisions directly impact millions of users.
 </li>
 <li>
 Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.
 </li>
 <li>
 Drive innovations that enhance search, personalization, sellingg and product discovery.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Group PM - Product Knowledge

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 5 years of experience in product management or related technical role.
 </li>
 <li>
 2 years of experience developing or launching products or technologies within security, privacy, or a related area.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience in enterprise security product management.
 </li>
 <li>
 Experience with Software-as-a-Service (SaaS) products.
 </li>
 <li>
 Experience with shipping Artificial Intelligence (AI) products.
 </li>
 <li>
 Ability to collaborate across teams.
 
 
 </li>
 </ul>
 
 About the job
 
 At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
 
 
 In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
 
 
 One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define the direction, strategy and road map for the future of Small and Medium Businesses (SMB) Security for Workspace.
 </li>
 <li>
 Simplify security log investigations and surface risks at machine speed.
 </li>
 <li>
 Influence the road map for key partners across Workspace include Drive, Gmail, Chat, Calendar and Meet teams.
 </li>
 <li>
 Own the roadmap for cross product area integrations including Chronicle, Mandiant, Enhanced Safe Browsing.
 </li>
 <li>
 Execute on customer facing features and solving customer issues to deliver business impact for Cloud.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Manager, Workspace Security

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About Team And Role
 
 
 
 We&rsquo;re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us, do it.
 
 
 This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering&mdash;ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.
 
 
 You&rsquo;ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.
 
 
 This is a high-agency, startup-style role&mdash;if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Analyze &amp; Optimize eCommerce Product Data &ndash; Run deep SQL &amp; Python analyses to find opportunities in taxonomy, ontology, and structured data for search &amp; discovery improvements.
 </li>
 <li>
 Leverage LLMs for Analytical Solutions &ndash; Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
 </li>
 <li>
 Evaluate &amp; Improve AI/ML Models &ndash; Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
 </li>
 <li>
 Drive Insights &amp; Strategy &ndash; Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.
 </li>
 <li>
 Integrate with AI/ML Teams &ndash; Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.
 </li>
 <li>
 Prototype and Experiment &ndash; Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 4 Years experience in analytics, data science role
 </li>
 <li>
 Strong Data &amp; Analytics Skills &ndash; Proficiency in SQL &amp; Python for data wrangling, analytics, and automation.
 </li>
 <li>
 Product Analytics Attitude &ndash; Familiarity with eCommerce search, recommendations, and knowledge graph applications
 </li>
 <li>
 Strong Communication &ndash; Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
 </li>
 <li>
 AI/LLM Experience &ndash; Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
 </li>
 <li>
 Model Evaluation Know-How &ndash; Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
 </li>
 <li>
 Startup DNA &ndash; High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Build the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Move fast &amp; own impactful projects in a startup-like, high-agency culture.
 </li>
 <li>
 Work directly with AI, Data Science, and Product teams to shape taxonomy &amp; ontology strategies.
 </li>
 <li>
 Get hands-on with AI/ML in a real-world, high-scale environment.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Scientist, Knowledge Management

Tredence Inc.

<div>
 
 
 Product Owner (L2)
 
 
 
 
 Experience:
 
 2-4yrs
 
 
 
 Location:
 
 Bengaluru, India (Hybrid)
 
 
 
 Team:
 
 Product (R&amp;D)
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 About Tredence
 
 
 
 Tredence is a global analytics services and solutions company, recognized among the fastest-growing private firms on the Inc. 5000 list for three consecutive years. We deliver value through data visualization, data management, advanced analytics, big data, and machine learning. Our strength lies in building scalable, cost-effective cloud (GCP, Azure, AWS) and on-premise solutions, supported by a strong portfolio of IP and accelerators.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a
 
 Product Owner
 
 to join our Generative AI R&amp;D Studio team. You will play a key role in translating business objectives into impactful AI-driven accelerators and products, collaborating with cross-functional teams, and driving innovation at the frontier of enterprise AI.
 
 
 
 
 
 
 What are Accelerators?
 
 
 
 Accelerators are reusable mini-products designed to cut delivery timelines by
 
 30&ndash;70%
 
 while enhancing client outcomes. At Studio R&amp;D, we experiment, design, and build accelerators across industries like Retail, CPG, BFSI, Healthcare, and more &mdash; enabling faster client value delivery and execution at scale.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Translate business requirements into PRDs, user stories, and acceptance criteria.
 </li>
 <li>
 Collaborate with engineering, data science, QA, and design to deliver high-quality features.
 </li>
 <li>
 Support sales, marketing, and customer success through demos, release notes, documentation, and enablement collateral.
 </li>
 <li>
 Assist delivery teams with product support during client implementations.
 </li>
 <li>
 Track product success metrics, analyze performance, and synthesize learnings.
 </li>
 <li>
 Research emerging technologies across Tredence&rsquo;s business areas.
 </li>
 <li>
 Own prompt engineering and evals efforts for your respective product/accelerators.
 </li>
 <li>
 Communicate product updates, roadmap, and progress to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Experience &amp; Mindset
 
 
 <ul>
 <li>
 ~2 years of experience in product management (post-MBA preferred).
 </li>
 <li>
 Proven record of contributing to impactful projects in fast-paced environments.
 </li>
 <li>
 Strong problem-solving skills and ability to bring structure to ambiguity.
 </li>
 <li>
 Hunger to learn, experiment, and innovate.
 </li>
 </ul>
 
 
 Product Skills
 
 
 <ul>
 <li>
 Exposure to the product lifecycle (discovery &rarr; GA &rarr; scale) in Agile environments.
 </li>
 <li>
 Ability to convert technical concepts into business value and user stories.
 </li>
 <li>
 Strong communication, documentation, and stakeholder management.
 </li>
 </ul>
 
 
 Technical Fluency
 
 
 <ul>
 <li>
 Working knowledge of AI, data, cloud, ML, and data science.
 </li>
 <li>
 Hands-on experience with analytics/experimentation tools (SQL, Amplitude, Mixpanel, A/B testing, etc.).
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Have:
 
 
 <ul>
 <li>
 Exposure to Business Analyst, Sales, Data Science, or Development roles.
 </li>
 <li>
 Experience with Conversational AI or automation platforms.
 </li>
 <li>
 Certifications in Agile/Scrum or cloud/AI platforms.
 </li>
 </ul>
 
 
 
 
 
 Why Join Product at Tredence?
 
 
 <ul>
 <li>
 Collaborate across
 
 six practices
 
 (Supply Chain, CXM, Data Engineering, Data Science, Digital Engineering, GenAI) and
 
 multiple verticals
 
 (Retail, CPG, BFSI, Healthcare, TMT, Travel &amp; Hospitality).
 </li>
 <li>
 Work hands-on with technologies from
 
 GCP, Azure, AWS, Databricks, Snowflake
 
 .
 </li>
 <li>
 Explore innovations beyond web &mdash; including Generative AI, VR, humanoids, and mobile platforms.
 </li>
 <li>
 Launch 3&ndash;4 accelerators annually, gaining exposure across industries and practices.
 </li>
 <li>
 Participate in leading industry events such as Cypher and DES.
 </li>
 </ul>
 
 
</div>

Product Consultant

Flipkart

<div>
 
 We are Hiring an Incident Manager at Flipkart for Bangalore location.
 
 
 
 
 
 Exp : 12+ years
 
 
 Designation - Incident Manager / Senior Incident Manager.
 
 
 A person has to manage a 15+ team members
 
 
 Location-Bangalore
 
 
 Mode of work - Work from the office.
 
 
 
 
 
 If interested please apply here :
 
 
 
 
 
 https://forms.gle/EQPxbq5aWXJ9oSdbA
 
 
 
 
 
 
 About the team
 
 
 
 Reliability and Productivity Engineering (aka RPE) organisation&rsquo;s primary vision is to help Flipkart Engineering teams to be able to build products efficiently and help the product run reliably on the production thereby helping consumers have a great experience.
 
 
 The Incident management team will be part of the Reliability Engineering team under this RPE org, helping the organisation to be better equipped to be dealing with the Production incidents in a proactive way. This is a new team formed aiming to constantly improve the availability of the Flipkart platform for its consumers and sellers.
 
 
 
 
 <ol>
 <li>
 Hands on experience of monitoring &amp; logging tools, APM, Rum &amp; SM
 </li>
 <li>
 Hands on experience on AI-Ops Tools (Pagerduty, Zenduty, VictorOps)
 </li>
 <li>
 Past experience of reading and analyzing application logs
 </li>
 </ol>
 
 
 Preferred
 
 
 <ol>
 <li>
 ITIL Certification
 </li>
 <li>
 Worked on Atlassian - JIRA &amp; Confluence
 </li>
 <li>
 Knowledge-based Systems - Creation and usage
 </li>
 </ol>
 
 
</div>

Incident Manager

<div>
 
 
 
 Research Manager &ndash; 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&rsquo;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 &mdash; 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&rsquo;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 &amp; 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&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 
 <ul>
 <li>
 Closely work with the Data Science team to formulate data-led solutions and models
 </li>
 <li>
 Use advanced Machine Learning techniques to enable key business goals
 </li>
 <li>
 Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
 </li>
 <li>
 Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
 </li>
 </ul>
 
 
 
 
 
 Key Roles &amp; 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&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 
 <ul>
 <li>
 Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
 </li>
 <li>
 Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
 </li>
 <li>
 Ensure timely deployment of models in a high-pace business, large-scale production environment
 </li>
 <li>
 Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
 </li>
 <li>
 Build deep partnerships with business, product management, and technology leaders
 </li>
 <li>
 Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
 </li>
 <li>
 Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
 </li>
 <li>
 Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
 </li>
 </ul>
 
 
 
 
 
 Our Associations &amp; Collaborations:
 
 
 
 Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; 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.
 
 
 
</div>

Data Science Manager

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