{"id":68069,"url":"https://alion.io/job/people-director-data-science","title":"Director, Data Science","company":{"id":9119,"name":"People Inc.","domain":"people.inc","url":"https://alion.io/company/people","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"bandit","optional":false},{"name":"BigQuery","optional":false},{"name":"Claude Code","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-17T12:35:46Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Job Title\nDirector, Data ScienceJob Description\nAbout The Position | Major Goals and Objectives and Location Requirements:\nPeople Inc. is America’s largest print and digital publisher, reaching tens of millions of readers every day. We’re hiring a Director of Data Science to lead customer intelligence and personalization for our entertainment brands, helping shape products and experiences that inform, engage, and inspire our audiences.\nIn this role, you’ll build a deeper understanding of our customers across product engagement, marketing response, and lifecycle behavior. You’ll partner closely with Product, Marketing, and Editorial teams to turn data into actionable insights that drive growth, while working with Data Operations and Engineering to ensure our models, measurement systems, and insights can scale effectively.\nYou’ll apply statistical modeling and machine learning to product and marketing challenges across customer segmentation, acquisition, engagement, retention, and lifetime value, with a particular focus on mobile app experiences. You’ll own models and analyses that support personalization, automated marketing, attribution, experimentation, and lifecycle optimization across apps, newsletters, and other customer touchpoints, translating complex audience behavior into clear recommendations and measurable business impact.\nSchedule Requirements:\nIn-office Expectations:\nThis position is fully remote with no in-office requirements, (might require coming into an office periodically for team meetings, etc.)\nAbout The Team | The Team and/or Brand:\nPeople Inc. is the largest premium publisher in the world. Every day, tens of millions of people come to us for help and inspiration. Our library of hundreds of thousands of articles helps our users understand how to deal with day-to-day challenges. You will work with a team of data scientists, collaborating with cross-functional groups to leverage this incredible dataset to understand both our content and our users' needs. This knowledge will be used to identify and build out new products that leverage the behavioral information within our extensive data.\nAbout The Position’s Contributions:\nWeight % Accountabilities, Actions, and Expected Measurable Results\nLead and grow a data science team to develop predictive models that estimate customer lifetime value using advanced statistical and machine learning techniques.\n\nAnalyze and understand customer interactions across app, web, social media, and email touchpoints to identify and optimize engagement opportunities.\n\nOwn product funnel and engagement analysis, including onboarding completion, feature adoption, feature stickiness, and session behavior, as distinct from marketing-funnel metrics such as acquisition and retention.\n\nLeverage data-driven insights to build customer segmentation models, identifying high-value users and informing content and product recommendations.\n\nPartner with Product and Editorial teams to translate user understanding into differentiated experiences across the app, newsletters, and other customer interactions, feeding insights directly into the product development cycle. This includes the sizing of opportunities and assessment of product success.\n\nDesign online A/B testing experiments to measure the impact of product changes, personalization, and full-funnel marketing interventions.\n\nEnsure effective collaboration between data science teams and other departments.\n\nAdvocate for resources and tools to advance data capabilities.\n\nAlign data initiatives with company objectives.\n\nThe Role’s Minimum Qualifications and Job Requirements:\nEducation:\nPhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience.\nExperience:\n7+ years of experience in data science and machine learning with a strong focus in the area of customer behavior, product analytics, and marketing-focused problems.\n\n5+ years of experience leading a team of data scientists.\n\nAbility to lead product and funnel analytics on web and mobile platforms with a focus on providing actionable insights, not just data outputs.\n\nSolid foundation in causal inference, survival analysis, and time series analysis, especially as applied to marketing and customer behavior.\n\nStrong proficiency in Python and SQL for data analysis and model development.\n\nFamiliarity with Claude Code/Codex and how they can be used reliably (and where they fail) in a data science workflow.\n\nStrong strategic and operational capabilities.\n\nExcellent leadership and communication skills.\n\nAbility to communicate complex analyses clearly to non-technical marketing and business stakeholders.\n\nDrives adoption of new data science methods and technologies to continually expand what the product can do.\n\nSpecific Knowledge, Skills, Certifications and Abilities:\nExperience with large-scale search and recommendation systems in media, e-commerce, or advertising space.\n\nExperience working with large-scale analytics platforms (e.g., BigQuery).\n\nExposure to reinforcement learning or bandit approaches for personalization or offer optimization.\n\nAdvanced experimentation techniques, including multivariate testing, factorial designs, and CUPED.\n\nExperience with Bayesian statistical methods for inference and decision-making under uncertainty.\n\nExperience with forecasting models and advanced lifecycle or retention modeling.\n\nApplied NLP experience for content classification, semantic search, or audience understanding.\n\nTrack record of leading end-to-end data science projects from problem framing through deployment and impact measurement.\n\nConfidence and pride in representing Data Science as a strategic partner to Marketing and other business teams.\n\n% Travel Required ( Approximate ): ~5%, ability to travel periodically/quarterly for team meetings/events preferred but flexible based on candidate needs\nIt 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.Accommodation requests can be made by .\nThe Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:https://www.e-verify.gov/employees\n Pay Range\nSalary: Remote: $175,000.00 - $210,000.00The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives.In addition, PeopleInc.provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.\n#NMG#","description_format":"text","description_chars":8248,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Annual bonuses","Health insurance","Insurance coverage","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sales & Marketing","Advertising","Publishing","Content Creation"],"lifecycle":[{"event":"open","at":"2026-08-20T00:00:00Z"}],"visa":[],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.765,"p_room":0.55,"age_days":58,"expected_fill_days":50,"reasons":["conf:21","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":false},"html_url":"https://alion.io/job/people-director-data-science","json_url":"https://alion.io/job/people-director-data-science.json","meta":{"generated_at":"2026-10-17T14:38:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19685,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":9119},"rest":"https://alion.io/mcp/rest/get_company?id=9119"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpeople-director-data-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpeople-director-data-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpeople-director-data-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/people-director-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpeople-director-data-science"}]}