T

Director, Data Science

torentify • United State
Remote
Apply Now

Lead customer intelligence and personalization initiatives across entertainment brands by applying statistical modeling and machine learning to drive business growth. Develop and manage a team of data scientists while partnering with Product, Marketing, and Engineering to translate data into actionable insights. Requires advanced degree and 7+ years of experience in data science, including 5+ years leading teams, with expertise in Python, SQL, and causal inference.

Key Highlights
Lead a team of data scientists to develop models for customer segmentation, acquisition, engagement, retention, and lifetime value.
Apply statistical modeling, machine learning, and causal inference to optimize mobile app experiences, marketing attribution, and lifecycle activities.
Partner cross-functionally with Product, Marketing, and Editorial teams to drive strategic data science adoption and measurable business impact.
Key Responsibilities
Lead customer intelligence and personalization initiatives across entertainment brands.
Lead and develop a team of data scientists.
Build analytics and models to understand customer engagement, marketing response, and lifecycle behavior.
Lead product and funnel analytics across web and mobile platforms.
Apply statistical modeling and machine learning to customer and marketing challenges.
Develop and oversee models supporting customer segmentation, acquisition, engagement, retention, and lifetime value.
Support personalization, automated marketing, attribution, experimentation, and lifecycle optimization across mobile apps, newsletters, and other customer touchpoints.
Partner with Product, Marketing, and Editorial teams to translate data into actionable insights and measurable business impact.
Collaborate with Data Operations and Engineering to ensure models, measurement systems, and insights can scale effectively.
Lead end-to-end data science projects from problem framing through deployment and impact measurement.
Apply causal inference, survival analysis, and time series analysis to marketing and customer behavior problems.
Drive adoption of new data science methods and technologies.
Communicate complex analyses and recommendations clearly to non-technical marketing and business stakeholders.
Represent Data Science as a strategic partner to Marketing and other business teams.
Contribute to new products that leverage behavioral information from People Inc.'s extensive content and audience datasets.
Technical Skills Required
Python SQL Machine Learning
Benefits & Perks
Remote Salary: $175,000–$210,000 per year
Annual bonuses and short- and long-term incentives
Unlimited paid time off (PTO)
Medical, dental, vision, and prescription drug coverage
401(k) savings plan with company match
Paid parental leave
Tuition reimbursement
Donation matching
Nice to Have
Experience with large-scale search and recommendation systems in media, e-commerce, or advertising.
Experience with large-scale analytics platforms such as BigQuery.
Exposure to reinforcement learning or bandit approaches for personalization or offer optimization.
Experience with advanced experimentation techniques, including multivariate testing, factorial designs, and CUPED.
Experience with Bayesian statistical methods for inference and decision-making under uncertainty.
Experience with forecasting models and advanced lifecycle or retention modeling.
Applied NLP experience in content classification, semantic search, or audience understanding.
Experience with mobile app personalization and customer lifecycle optimization.
Ability and willingness to travel periodically or quarterly for team meetings and events.

Job Description

# Director, Data Science

## About the Role

People Inc., America's largest print and digital publisher, is seeking a Director of Data Science to lead customer intelligence and personalization across its entertainment brands. This role will develop a deeper understanding of customer behavior across product engagement, marketing response, and lifecycle activity, translating data into actionable insights that improve products, customer experiences, and business growth.

Want the full job description? Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.

See Jaabz jobs first on Google 1 tap · free · in AI Overviews Jaabz is on your Google Manage Preferred Sources

Similar Jobs

Explore other opportunities that match your interests

Analytics Engineer

Data Science
•
3h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

talenthop

United State

Data Engineer

Data Science
•
3h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

talenthop

United State
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Associate

torentify

United State

Subscribe our newsletter

New Things Will Always Update Regularly