{"id":1749049,"url":"https://alion.io/job/digital-turbine-lead-data-scientist","title":"Lead Data Scientist","company":{"id":179744,"name":"Digital Turbine","domain":"digitalturbine.com","url":"https://alion.io/company/digital-turbine","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Berlin, Germany"],"countries":["US","DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":223000,"max":272000,"currency":"USD","period":"year","gross":null,"usd_annual":272000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-13T14:13:57Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers - intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.\nPlease note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.\nDT has every ingredient of a marketplace business - advertisers, publishers, OEMs, carriers, consumers, devices, and proprietary device-level data. Our job in Data Science is to turn that raw advantage into intelligence: the insights, models, and systems that optimize the marketplace and prove the value we create.\nAs a Lead Data Scientist, you will serve as a technical authority and strategic partner across engineering, product, and executive leadership. You will define technical roadmaps, architect high-impact ML and experimentation frameworks, and set the standard for data science excellence across DT’s global marketplace - from bidding efficacy and audience curation to measurement, attribution, and enterprise experimentation.\nAbout the Lead Data Scientist role:\nStrategic Problem Framing & Vision: Lead the translation of complex, high-ambiguity business challenges into multi-quarter data science roadmaps that directly shape product strategy and commercial outcomes.\nExperimentation Architecture: Drive the methodology, design, and standards for DT’s centralized experimentation framework - serving as the primary authority on causal inference, A/B testing, and hypothesis validation across product surfaces.\n Advanced Modeling & System Architecture: Architect and oversee the development of production-grade statistical and ML models for bid/UA optimization, dynamic audience segmentation, user lifetime value (LTV), and multi-touch attribution.\nReal-Time Data Intelligence: Direct the strategy for time-series forecasting and real-time event processing to enhance automated decisioning, yield optimization, and recommendation engines.\nEngineering Partnership & Productionization: Partner with ML Infrastructure and Data Engineering leads to establish best practices for model deployment, monitoring, and integration into DT’s Next Best Action framework.\nTechnical Leadership & Mentorship: Elevate the technical rigor of the data science organization. Mentor senior and mid-level scientists, establish code and methodology standards, and foster an evidence-based culture across the company.\nExecutive Influence: Translate deep technical findings into strategic narratives for executive stakeholders, influencing product strategy and commercial investments.\nAbout You As the Lead Data Scientist:\nExperience: 8+ years of progressive experience in data science, quantitative analysis, or machine learning, with a track record of technical leadership in AdTech, two-sided marketplaces, or consumer-scale data platforms.\n Technical Mastery: Expertise in advanced statistical modeling, causal inference, experimental design, and machine learning architectures (regression, classification, time-series, clustering, and deep learning).\n Stack & Scale: Expert fluency in Python (or R), SQL, and handling petabyte-scale data within cloud infrastructure (e.g., Databricks, Spark, Snowflake, AWS/GCP).\nSystemic Thinking: Proven ability to look beyond individual analyses to design scalable tools, reusable metrics frameworks, and automated modeling pipelines.\n Cross-Functional Leadership: Exceptional communication and alignment skills, with a history of driving technical strategy across matrixed product, engineering, and business organizations.\nNice to Have:\nHands-on experience architecting metrics semantic layers or enterprise experimentation tools.\nDeep domain expertise in real-time bidding (RTB) auctions, algorithmic yield management, or advanced attribution methodologies.\nMasters or Ph.D. in a quantitative field (Statistics, Computer Science, Economics, Operations Research, or Physics).\nAt DT, we are committed to pay transparency and equitable compensation.\n(For New York based candidates) The salary range for this position is $223,000-$272,000 based on experience, skills, and qualifications. In addition to competitive pay, we offer a comprehensive benefits package, including stock options, unlimited PTO and performance based bonus. We believe in fostering an environment where employees are valued and compensated fairly for their contributions.\nAbout Digital Turbine:\nDigital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization - connecting our partners to more consumers, in more ways, across more devices.\nThe company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.\nWe are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024.\nDigital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.\nDigital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice.","description_format":"text","description_chars":6265,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Performance based bonus","Stock options","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Billing & Subscription Management","Token Launch Platforms"],"lifecycle":[{"event":"open","at":"2026-10-03T07:46:52Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 10 · green card filings: 2","filings_12m":10,"filings_prev_12m":11,"green_card_filings_12m":2,"median_offered_wage_usd":134583,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":11,"expected_fill_days":72,"reasons":["conf:10","velocity","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":272000,"is_top_pay":true},"html_url":"https://alion.io/job/digital-turbine-lead-data-scientist","json_url":"https://alion.io/job/digital-turbine-lead-data-scientist.json","meta":{"generated_at":"2026-10-13T21:43:36Z","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":33299,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":179744},"rest":"https://alion.io/mcp/rest/get_company?id=179744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdigital-turbine-lead-data-scientist"},{"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%2Fdigital-turbine-lead-data-scientist"},{"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%2Fdigital-turbine-lead-data-scientist"},{"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/digital-turbine-lead-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdigital-turbine-lead-data-scientist"}]}