Sr. Data Scientist

JD – Sr. Data Scientist - Media Analytics 

Experience: 7–8 years 

Location: Bangalore (Onsite) 

Notice Period: Candidates who can join within 30 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 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. 

Desired Qualifications: 

• Experience with classification models, time series forecasting, customer lifetime value models, 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 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 the latest technologies, design patterns, and best practice delivery models that drive optimal business value and ensure continuous improvement of the 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 seek the best ways of working for our teams and business partners.