Senior Data Scientist, 1

Job Title

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

• Masters 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 addition the Company will provide reasonable accommodations for qualified individuals with disabilities.