Sr. Data Scientist

We are hiring for Sr Data Scientist (Media Analytics) Role.

Location - Bangalore(Onsite)

Experience - 6 to 10 years

Notice Period - Immediate to 1 Month

Required Skills & Experience -

1. 6–10 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.

2. 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.

3. Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.

4. Familiarity with large language models (LLMs) and generative AI is highly desirable.

5. Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.

6. Proven experience with Databricks platform, Snowflake, and Azure cloud services.

7. Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.

8. Experience with BI tools such as Power BI, DOMO and Tableau.

Desired Qualifications -

1. Experience with classification models, time series forecasting, customer lifetime value model, large language models (LLMs) and generative AI.

2. Preferably from the Retail, eCommerce or CPG industry

Key Responsibilities -

1. Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.

2. Solve complex media optimisation problems and conduct A/B testing to evaluate proposed solutions.

3. 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 & strategy and OKRs and drive performance improvement.

4. Support the domain leads and business teams to solve complex analytical challenges.

5. 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.

6. 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.

Interested candidates can share their resumes at : vishwanatha@lbs.work

Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person