Director, Data Science

Dotdash Meredith
United States
Workplace: RemoteFull timeUSD 175,000 - 210,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: phdSkills: ["Leadership","Communication","Strategic thinking","Collaboration"]

Lead customer intelligence and personalization by building predictive models and analytics that improve customer lifetime value, engagement, and retention across app and web experiences. Own product funnel and experimentation, including A/B testing, segmentation, attribution, and lifecycle optimization. Partner with Product, Marketing, and Editorial teams while collaborating with Engineering and Data Operations to scale models, measurement systems, and insights, translating audience behavior into measurable growth impact.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Dotdash Meredith
Dotdash Meredith
4 days ago

Director, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Lead customer intelligence and personalization by building predictive models and analytics that improve customer lifetime value, engagement, and retention across app and web experiences. Own product funnel and experimentation, including A/B testing, segmentation, attribution, and lifecycle optimization. Partner with Product, Marketing, and Editorial teams while collaborating with Engineering and Data Operations to scale models, measurement systems, and insights, translating audience behavior into measurable growth impact.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Lead and grow a data science team to develop predictive customer lifetime value models using statistical and machine learning methods.
  • •Analyze customer interactions across app, web, social media, and email touchpoints to identify and optimize engagement opportunities.
  • •Own product funnel and engagement analysis, including onboarding completion, feature adoption, feature stickiness, and session behavior.
  • •Build customer segmentation models to identify high-value users and inform content and product recommendations.
  • •Design and run online A/B testing experiments to measure the impact of personalization and full-funnel marketing interventions.
Travel: Low travel

Pay and Benefits

Salary: USD 175,000 - 210,000 annually
Perks:Health InsuranceDentalVisionPaid Leave401kParental Leave

Key Requirements

  • •PhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or a related quantitative field, or equivalent experience.
  • •7+ years of experience in data science and machine learning focused on customer behavior, product analytics, and marketing problems.
  • •5+ years of experience leading a team of data scientists.
  • •Strong ability to lead product and funnel analytics for web and mobile, delivering actionable insights.
  • •Proficiency in Python and SQL, plus solid causal inference, survival analysis, and time series analysis skills applied to marketing and customer behavior.
Experience:7+ yearsCustomer behaviorProduct analyticsMarketing analytics
Education:PhD / Doctorate
Skills:LeadershipCommunicationStrategic thinkingCollaboration
Tech Stack:PythonSQLClaude CodeCodexBigQuery

Company Brief

Dotdash Meredith
Dotdash Meredith is a major digital and print media company producing lifestyle, entertainment, and news content across numerous brands and platforms, combining Dotdash's digital expertise with Meredith's legacy publishing portfolio following their 2021 merger.
Industry: Publishing
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2021
WebsiteLinkedIn