Senior Data Scientist, 1 at People Inc. – Bangalore | Jobyssey

Job Title

Senior Data Scientist, 1

Job Description

The Senior Marketing Data Scientist will develop and deploy marketing-focused analytical and machine learning solutions across People Inc. entertainment brands. This role sits at the intersection of customer analytics, experimentation, and growth strategy, partnering closely with Marketing, Product, and Editorial teams.

The ideal candidate has deep experience applying statistical modeling and machine learning to marketing problems, including customer segmentation, acquisition, engagement, retention, and customer LifeTime Value. You will own models and analyses that inform personalization, automated marketing, attribution, experimentation, and lifecycle optimization, translating complex customer behavior into actionable insights that drive measurable business outcomes.

Unlike traditional data science roles focused purely on modeling, this position requires a strong ability to:

Support translating product questions into data-driven insights
Help define and track user engagement, retention, and churn metrics
Collaborate with product, engineering, and marketing stakeholders

Key Responsibilities

Product Analytics, Experimentation & Insights

Analyze user behavior to identify engagement patterns, retention trends, and churn signals
Support the design and evaluation of A/B tests to measure product and campaign impact
Assist in translating product questions into structured analyses and actionable insights

Data Modeling, Segmentation & Personalization

Build and maintain user-level datasets (engagement, activity, segmentation features)
Support development of user segmentation frameworks (e.g., cohorts, archetypes)
Build and maintain LTV, churn, and propensity models to support acquisition, retention, and re-engagement strategies
Contribute to analytical approaches such as survival modeling, and forecasting

Cross-Functional Collaboration & Communication

Work closely with data science and cross-functional teams to support data-informed decisions
Communicate findings clearly through analyses, dashboards, and presentations
Proactively explore data to surface insights and opportunities

Qualifications

Master’s or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience
3+ years of experience applying data science to consumer-facing and marketing-focused problems.
Strong proficiency in Python and SQL for data analysis and model development.
Hands-on experience of building machine learning solutions using Gradient Boosting libraries (e.g., XGBoost, LightGBM, or CatBoost) or deep learning frameworks such as PyTorch and Tensorflow
Demonstrated experience designing and analyzing online experiments (A/B testing)
Ability to communicate complex analyses clearly to non-technical marketing and business stakeholders.

Preferred Qualifications(Nice to have)

Experience working with event-level data e.g. clickstream, mobile/web analytics
Familiarity with product and funnel analytics on web and mobile platforms
Solid foundation in causal inference, survival analysis, time series analysis, and Bayesian methods, especially as applied to marketing and customer behavior.
Experience working with large-scale analytics platforms (e.g., BigQuery)
Experience with forecasting models and advanced lifecycle or retention modeling
Track record of leading end-to-end data science projects from problem framing through deployment and impact measurement

It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities.

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