{"id":130431,"url":"https://alion.io/job/hearst-senior-data-scientist-data-ai-team","title":"Senior Data Scientist, Data & AI Team","company":{"id":1753362,"name":"Hearst","domain":"hearst.com","url":"https://alion.io/company/hearst-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":29,"ghost_share":0,"stale_share":0.966,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":149000,"max":181000,"currency":"USD","period":"year","gross":null,"usd_annual":181000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-06-15T00:00:00Z","employer_posted_date":"2026-06-15","last_verified_at":"2026-10-22T05:54:59Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":129},"description":"Be Part of What's Next\nHearst Magazines is seeking a visionary and hands-on Senior Data Scientist to join our dynamic Data & AI team. In this pivotal role, you will be a key player in architecting and implementing the advanced data models that power personalized user experiences, drive our next-generation advertising products, and provide deep, actionable insights to our world-class editorial and commercial teams. You will tackle complex challenges at the intersection of machine learning, user behavior, and content strategy, with a direct impact on the trajectory of our iconic brands.\nAbout Hearst Magazines ( Why Us?)\nHearst Magazines’ portfolio of more than 30 iconic brands in the U.S.-including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper’s BAZAAR, and Popular Mechanics - inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world-and together, we are shaping what’s next.\nKey Responsibilities(What are you doing)\nLead and Innovate: Design, develop, and deploy sophisticated machine learning models to address core business challenges, including user segmentation, content recommendation, churn prediction, and lifetime value modeling.\nStrategic Impact: Partner with product, engineering, editorial, and revenue teams to identify and execute on data science initiatives that drive measurable business outcomes.\nFull-Cycle Development: Own the end-to-end data science workflow, from hypothesis generation and data exploration to model building, validation, and deployment into production environments.\nAdvanced Analytics: Conduct in-depth exploratory analysis of large, complex datasets to uncover hidden patterns, trends, and opportunities for innovation.\nMentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of technical excellence and collaborative problem-solving.\nThought Leadership: Stay at the forefront of advancements in data science and machine learning, and champion the adoption of new technologies and methodologies within the organization.\nQualifications (What We’re Looking For)\nExperience: 7+ years of experience in a data science role, with a proven track record ofdeveloping and deploying impactful machine learning models in a production environment.\n Technical Expertise: Expert proficiency in Python and SQL.\nDeep understanding of machine learning algorithms (e.g., regression, classification, clustering, NLP) and statistical modeling.\nHands-on experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch.\nExperience with big data technologies (e.g., Spark, BigQuery) and cloud platforms (GCP, AWS).\n\nStrategic Mindset: Ability to translate complex business problems into well-defined data science projects and communicate technical concepts effectively to non-technical stakeholders. \nLeadership: Demonstrated ability to lead projects, mentor junior team members, and collaborate effectively across cross-functional teams.\nEducation: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is preferred.\nThis is a hybrid position based in New York City, with an in-office requirement of four days per week. \nBenefits (What We Offer)\nWork with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries. \nGrow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events. \nWork-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities. \nFoster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered. \n Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1. \nThe base salary for this role is between $149,000-$181,000. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.\nHearst Magazines is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.","description_format":"text","description_chars":4970,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","Call Center Services"],"lifecycle":[{"event":"open","at":"2026-06-15T00:00:00Z"},{"event":"open","at":"2026-10-07T00:07:57Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.156,"p_room":0.28,"age_days":129,"expected_fill_days":3,"reasons":["conf:0","stale_co","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":181000,"is_top_pay":true},"html_url":"https://alion.io/job/hearst-senior-data-scientist-data-ai-team","json_url":"https://alion.io/job/hearst-senior-data-scientist-data-ai-team.json","meta":{"generated_at":"2026-10-22T10:24:33Z","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":7661,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":1753362},"rest":"https://alion.io/mcp/rest/get_company?id=1753362"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhearst-senior-data-scientist-data-ai-team"},{"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%2Fhearst-senior-data-scientist-data-ai-team"},{"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%2Fhearst-senior-data-scientist-data-ai-team"},{"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/hearst-senior-data-scientist-data-ai-team\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhearst-senior-data-scientist-data-ai-team"}]}