Data Science

JD – Sr. Data Scientist - Media Analytics Experience:7–8 years Location:Bangalore (Onsite) Candidates who can join within 15 days may only applyJob Summary We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise inMedia Analyticsand a proven track record in driving marketing measurement and optimisation. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimise media investments.Required Skills & Experience 7–8 years of experience in Data Science/Analytics with a strong focus onmedia measurement ,marketing effectiveness , and performance optimization. A minimum of a bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions. An advanced degree in a similar field is preferred. Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection. Familiarity with large language models (LLMs) and generative AI is highly desirable. Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation. Proven experience with Databricks platform, Snowflake, and Azure cloud services. Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring. Experience with BI tools such as Power BI, DOMO and Tableau. Strong understanding of machine learning algorithms, data structures, and software design principles. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional teams[GT1][GT2].Desired Qualifications: Experience with classification models, time series forecasting, customer lifetime value model, large language models (LLMs) and generative AI. Preferably from the Retail, eCommerce or CPG industryKey Responsibilities Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling. Solve complex media optimisation problems and conduct A/B testing to evaluate proposed solutions. Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement. Support the domain leads and business teams to solve complex analytical challenges. Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc. Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts. Research and promote latest technologies, design patterns and best practice delivery models that drive optimal business value and ensure continuous improvement of team, processes, and platforms. Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement. Employ innovative thinking and always seeking the best ways of working for our teams and business partners.[GT1] [GT2]