Job Description
JD – Sr. Data Scientist - Media Analytics
Experience: 7–8 years
Location: Bangalore (Onsite)
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 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 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 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 industry
Key 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]