Data Science Analyst

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 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 bachelors 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.