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data science manager

Flipkart

<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

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree).
 </li>
 <li>
 8 years of experience with data science and analytics in a technology or supply chain company.
 </li>
 <li>
 Experience in data model and data insight transformation.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
 </li>
 <li>
 4 years of experience as a people manager within a technical leadership role.
 </li>
 <li>
 Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights.
 </li>
 <li>
 Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 The mission of Cloud Supply Chain Data (CSCD) Data Science and Product team is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help CSCD define and achieve business goals. We help make Google Cloud supply chain and Data Centers by enabling data-informed decision making and product innovation.
 
 
 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>
 Manage Bangalore Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team.
 </li>
 <li>
 Lead a portfolio of programs in developing ML/Statistical models, conducting diagnostic analytics research, crafting prescriptive insights.
 </li>
 <li>
 Guide problem framing, metrics development, data extraction and manipulation, visualization, and story telling for the team.
 </li>
 <li>
 Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
 </li>
 <li>
 Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and define operational goals and objectives.
 
 
 
 </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>

Data Science Manager, Product, Cloud

<div>
 
 Role Description
 
 
 
 Essential Requirements Solid experience in a related role or equivalent,
 
 
 skill/education; must include deep knowledge of data science principles. 5-8 years Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus Desirable Requirements Master&rsquo;s or PhD in a quantitative discipline. Ability to act as a coach to the team and strong product/technology/industry knowledge
 
 
 
 Skills
 
 
 
 Python,SQL ,Machine Learning
</div>

Data Scientist( Machine Learning, Python, SQL, Gen AI)

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
 
 
 You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 We inform product strategy, influence the product roadmap, and guide product decisions by
 </li>
 <li>
 Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
 </li>
 <li>
 Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
 </li>
 <li>
 Designing and analyzing experiments to test new product ideas.
 </li>
 <li>
 Developing models and data-driven solutions that add material lift to principal performance metrics
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
 </li>
 <li>
 14+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 14+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with Consumer Internet products.
 </li>
 <li>
 Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
 </li>
 <li>
 Ability to translate business objectives into actionable analyses.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and non-technical audiences
 </li>
 <li>
 Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
 </li>
 <li>
 Expertise in applied statistics, understanding of controlled experiments.
 </li>
 <li>
 Cross-cultural background and experience
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Sql
 </li>
 <li>
 Data visualization
 </li>
 <li>
 Hive
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Senior Staff Data Scientist

Indegene

<div>
 
 We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com
 
 
 
 
 
 Looking to jump-start your career?
 
 
 We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth
 
 
 
 
 Role: Senior Manager - Data &amp; Analytics
 
 
 
 
 
 Description:
 
 You will be responsible for: We are seeking a dynamic and experienced Senior Manager/Director to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.
 
 
 &bull; Leads analytic engagements managing all stakeholders
 
 
 &bull; Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy
 
 
 &bull; Lead the assessment of existing ecosystems across key pillars, including client business portfolio plans &amp; objectives, technical architecture, data/ML models etc and challenge conventional approaches as needed
 
 
 &bull; Identify and recommend thoughtful next steps and strategies. Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
 
 
 &bull; Find creative and innovative solutions to increasingly complex problems. Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
 
 
 &bull; Makes quantitatively-oriented recommendations to solve business problems &amp; demonstrate proficiency in understanding and working with diverse datasets, and assess their suitability for integration into the proposed solution
 
 
 &bull; In-charge of discovery and requirements gathering. Apply data science skills to ensure robust and scalable model deployment.
 
 
 &bull; Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
 
 
 &bull; Provide training and support to internal teams to ensure smooth and continued success on project implementations
 
 
 &bull; Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
 
 
 &bull; Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
 
 
 &bull; Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
 
 
 &bull; Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
 
 
 &bull; Monitor industry trends and implement best practices to improve in-house capabilities
 
 
 &bull; Enforces all policies and procedures for programming, project documentation, and system management
 
 
 
 
 
 We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
 
 
 
 
 
 &bull; Bachelor's degree in Business Administration, Computer Science, or related field (Master's degree preferred).
 
 
 &bull; Overall 13+ years of experience and 5+ overall years of experience in leading analytical projects in pharma domain
 
 
 &bull; Experience in pharma omnichannel analytics or in at least 2 among sales force analytics, patient analytics, digital analytics, commercial analytics domains
 
 
 &bull; Experience in Advanced analytics including Statistics, Gen AI, Ensemble, deep learning predictive models and MLOPs
 
 
 &bull; Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirements
 
 
 &bull; Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing will be an added advantage
 
 
 &bull; Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships
 
 
 &bull; Strong analytical and problem-solving abilities, with a keen attention to detail and willing to learn in a fast-paced environment
 
 
 &bull; Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments
 
 
 &bull; Willing to work in a highly demanding and result-oriented team environment
 
 
 &bull; Excellent communication skills; able to grasp and communicate complex ideas clearly
 
 
 
 
 
 Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.
 
</div>

Senior Manager - Data & Analytics

Tredence Inc.

<div>
 
 
 Associate Product Manager
 
 
 
 
 Experience
 
 : 5-8yrs
 
 
 
 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 an
 
 Associate Product Manager
 
 to join our Generative AI R&amp;D Studio team. You will lead the design and execution of AI-driven accelerators and products, working closely with cross-functional teams to drive adoption, innovation, and measurable client impact.
 
 
 
 
 
 
 What are Accelerators?
 
 
 
 Accelerators are reusable mini-products that reduce delivery timelines by
 
 30&ndash;70%
 
 while improving client outcomes. At Studio R&amp;D, we build and scale these accelerators across industries like Retail, CPG, BFSI, Healthcare, and more &mdash; enabling faster value realization at enterprise scale.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Drive end-to-end product lifecycle, from discovery to scale.
 </li>
 <li>
 Translate business requirements into PRDs, user stories, and acceptance criteria.
 </li>
 <li>
 Steer cross-functional teams (engineering, data science, QA, design) to deliver high-quality features.
 </li>
 <li>
 Facilitate Agile ceremonies and ensure execution success.
 </li>
 <li>
 Lead product adoption across Tredence&rsquo;s business practices.
 </li>
 <li>
 Own prompt engineering and evaluation initiatives for assigned products/accelerators.
 </li>
 <li>
 Research emerging GenAI technologies and run POCs to drive innovation.
 </li>
 <li>
 Collect user and client feedback to define feature enhancements and iterative improvements.
 </li>
 <li>
 Support sales, marketing, and customer success with demos, release notes, and enablement content.
 </li>
 <li>
 Assist delivery teams during client implementations with product guidance.
 </li>
 <li>
 Define and track success metrics, analyze performance, and synthesize learnings.
 </li>
 <li>
 Communicate roadmap progress and product updates to stakeholders and leadership.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Experience &amp; Mindset
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in AI/ML solutions, including
 
 3+ years in product management
 
 .
 </li>
 <li>
 Strong ownership, problem-solving ability, and comfort with ambiguity.
 </li>
 <li>
 Proven record of delivering impact in fast-paced environments.
 </li>
 <li>
 Hunger to learn, experiment, and innovate.
 </li>
 </ul>
 
 
 Product Skills
 
 
 <ul>
 <li>
 Hands-on experience with product lifecycle (discovery &rarr; GA &rarr; scale) in Agile settings.
 </li>
 <li>
 Ability to articulate technical concepts into clear business value.
 </li>
 <li>
 Excellent communication, documentation, and stakeholder management.
 </li>
 </ul>
 
 
 Technical Fluency
 
 
 <ul>
 <li>
 Working knowledge of AI, data, cloud, ML, and data science.
 </li>
 <li>
 Familiarity with
 
 LLMs, prompt engineering, RAG, Text-to-SQL, agentic frameworks, and data infrastructure
 
 .
 </li>
 <li>
 Experience with analytics/experimentation tools (SQL, Amplitude, Mixpanel, A/B testing).
 </li>
 </ul>
 
 
 Nice-to-Haves
 
 
 <ul>
 <li>
 Background in 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 with cutting-edge platforms:
 
 GCP, Azure, AWS, Databricks, Snowflake
 
 .
 </li>
 <li>
 Launch
 
 3&ndash;4 accelerators annually
 
 with direct exposure across industries.
 </li>
 <li>
 Explore innovations beyond web &mdash; including Generative AI, VR, humanoids, and mobile platforms.
 </li>
 <li>
 Participate in leading industry events such as
 
 Cypher
 
 and
 
 DES
 
 .
 </li>
 </ul>
 
 
</div>

Associate Product Manager

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

Senior Data Scientist

Explore 600+ Data science manager in Mangaluru this October. Find roles across top companies and apply now to boost your career.