Senior Data Scientist, 1

Meredith Corporation; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Meredith Corporation is seeking a Senior Data Scientist to develop marketing-focused analytical and machine learning solutions across entertainment brands. The ideal candidate will have strong proficiency in Python and SQL, with hands-on experience in machine learning and statistical modeling.

This role requires collaboration with Marketing, Product, and Editorial teams, focusing on customer analytics and actionable insights. Candidates should possess a Master’s degree and 3+ years of relevant experience.

Qualifications

• 3+ years of experience applying data science to consumer-facing and marketing-focused problems.
• Hands-on experience with Gradient Boosting libraries or deep learning frameworks.
• Ability to communicate complex analyses clearly to non-technical stakeholders.

Responsibilities

• Analyze user behavior to identify patterns, trends, and churn signals.
• Support the design and evaluation of A/B tests to measure impact.
• Work closely with cross-functional teams to support data-informed decisions.

Skills

Python

SQL

Machine Learning

Statistical Modeling

Data Analysis

A/B Testing

Education

Master’s or advanced degree in a quantitative field

Tools

XGBoost

LightGBM

Tensorflow

PyTorch

Job description

Senior Data Scientist

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.

• 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 with 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

• 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

Equal Employment Opportunity Statement

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.