Director, Data Science

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $175k - $210k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 0%

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Logo of Dotdash Meredith

Dotdash Meredith

1001 - 5000 employees

Founded 2017

📣 Marketing

🍽️ Food & Beverage

🏥 Healthcare

Marketing • Food & Beverage • Healthcare

Dotdash Meredith is America's largest digital and print publisher, known for creating trusted content across a wide range of topics including health, finance, beauty, and home. With a commitment to providing the experiences people want and the answers they need, Dotdash Meredith reaches nearly 200 million people each month through its various brands such as PEOPLE, Investopedia, Serious Eats, and Byrdie. The company offers innovative tools such as the Intent Targeting Tool to enhance its digital advertising capabilities. Dotdash Meredith is recognized for its deep expertise in editorial content and premium publishing, making it a trusted source for both inspiration and essential information.

📋 Description

• Lead and grow a data science team • Develop predictive models estimating customer lifetime value using statistical and machine learning techniques • Analyze customer interactions across app, web, social media, and email touchpoints • Identify and optimize customer 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 • Partner with Product and Editorial teams to create differentiated experiences across apps, newsletters, and other customer interactions • Size opportunities and assess product success • Design online A/B testing experiments for product changes, personalization, and full-funnel marketing interventions • Collaborate with data science and cross-functional teams • Advocate for resources and tools to advance data capabilities • Align data initiatives with company objectives • Drive adoption of new data science methods and technologies • Represent Data Science as a strategic partner to Marketing and other business teams

🎯 Requirements

• PhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar 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 • Ability to lead product and funnel analytics on web and mobile platforms • Solid foundation in causal inference, survival analysis, and time series analysis • Strong proficiency in Python and SQL • Familiarity with Claude Code/Codex and their reliable use and limitations in data science workflows • Strong strategic and operational capabilities • Excellent leadership and communication skills • Ability to communicate complex analyses clearly to non-technical marketing and business stakeholders • 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 • Advanced experimentation techniques, including multivariate testing, factorial designs, and CUPED • Experience with Bayesian statistical methods • Experience with forecasting models and advanced lifecycle or retention modeling • Applied NLP experience for content classification, semantic search, or audience understanding • Track record leading end-to-end data science projects from problem framing through deployment and impact measurement • Ability to travel periodically/quarterly for team meetings/events preferred but flexible based on candidate needs

🏖️ Benefits

• Annual bonuses • Short- and long-term incentives • Medical, dental, vision, and prescription drug coverage • Unlimited paid time off (PTO) • Adoption or surrogate assistance • Donation matching • Tuition reimbursement • Basic life insurance • Basic accidental death & dismemberment insurance • Supplemental life insurance • Supplemental accident insurance • Commuter benefits • Short-term and long-term disability • Health savings and flexible spending accounts • Family care benefits • 401K savings plan with company match • 10–12 paid holidays annually • Generous paid parental leave for birthing and non-birthing parents • Voluntary pet insurance • Voluntary accident, critical, and hospital indemnity health insurance coverage • Voluntary life and disability insurance • Fully remote work with no in-office requirements • Periodic team meetings/events travel flexibility

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