Senior Data Scientist - Media Analytics

JD - Sr. Data Scientist - Media Analytics

• Experience: 7-8 years
• Location: Bangalore (Onsite)
• Notice Period: Candidates who can join within 15 days may only apply

Job Summary

We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in Media Analytics and a proven track record in driving marketing measurement and optimization. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media investments.

Required Skills & Experience

• 7-8 years of experience in Data Science/Analytics with a strong focus on media 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 PowerBI, 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.

Desired Qualifications:

• Experience with classification model, time series forecasting, customer lifetime value model, large language models (LLMs) and generative AI.
• Preferably from Retail, eCommerce or CPG industry

Key Responsibilities

• Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
• Solve complex media optimization 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.