Role Overview

Data Scientist II - Data Analytics, Hyderabad

As a Data Scientist focused on Retention within Commerce & Growth Analytics, you will be responsible for building machine learning solutions that help understand, predict, and improve customer retention and long-term engagement across WBD's streaming products. You will work on projects from research and exploratory analysis to model development and deployment, following guidance and direction from senior data scientists. You will work closely with cross-functional partners across Product, Design, Commerce, Content, and Marketing to translate retention challenges into data-driven solutions.

Responsibilities

- Research, design, and build high-impact end-to-end machine learning systems that drive customer retention and long-term engagement.
- Develop churn, propensity, and customer-lifetime-value (LTV) models to identify at-risk customers and inform retention and win-back strategies.
- Perform exploratory data analysis to uncover behavioral drivers of churn and retention and turn findings into actionable insights.
- Participate in the design of scalable ML solutions in production.
- Promote and role-model best practices of data science, engineering, and communication throughout the organization.
- Evangelize ML adoption and innovation across the product and engineering teams.
- Foster a diverse community of data scientists and ML engineers.




- Partner with cross-functional teammates in Product, Design, Commerce, Content, and Marketing to understand their problems and design solutions.

Requirements

- M.S. or B.S. in Computer Science, Statistics, Data Science, Quant, or a related field.
- 3+ years of building products with Machine Learning and Personalization.
- Solid proficiency in SQL and Python (pandas), with hands-on experience using PySpark on large, distributed datasets.
- Strong data wrangling, manipulation, visualization, and EDA skills, with the ability to turn data into actionable insights.
- Strong understanding of the fundamentals of statistical tests and proficiency in classical ML algorithms - linear and logistic regression, bagging, boosting, decision trees, and GBM models.
- Ability to perform model tuning and optimization, and to convert ML outputs into business decisions.
- Production experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languages.
- Demonstrated ability to lead technical decisions.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Data Scientist II - Data Analytics, Hyderabad
🏢 Warner Bros. Discovery
📍 Hyderabad