{"id":2373675,"url":"https://alion.io/job/turo-staff-data-scientist-dynamic-pricing","title":"Staff Data Scientist, Dynamic Pricing","company":{"id":171962,"name":"Turo","domain":"turo.com","url":"https://alion.io/company/turo-2","size_band":"1001-5000","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":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":182000,"max":228000,"currency":"USD","period":"year","gross":null,"usd_annual":228000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Microsoft Teams","optional":true},{"name":"Telegram","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-13T02:52:35Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the team\nTuro’s Dynamic Pricing team builds the pricing intelligence that powers recommendations for 200,000+ vehicles globally: a foundational economic engine influencing tens of millions of pricing decisions each day. \nThese models directly shape guest demand, host profitability, and the overall efficiency and balance of our two-sided marketplace.\nWe’re looking for a Staff Data Scientist who combines deep modeling expertise with strong product intuition and an economics mindset. In this role, you will own complex pricing challenges spanning demand modeling, supply-demand dynamics, causal inference, and optimization under uncertainty.\nYou’ll join a small, high-impact team working across the full lifecycle. From research, development and deployment, to experimentation and iteration.\nWhat you will do\nModeling & Causal Inference\nLead dynamic pricing model development end to end, from problem framing through deployment and iteration, using demand modeling, causal inference, and market simulation.\nDevelop new approaches to pacing, lead-time dynamics, seasonality, and price elasticity to improve pricing accuracy and marketplace efficiency.\nBuild frameworks to measure how pricing decisions affect marketplace health, host earnings, and guest conversion; design experiments that account for two-sided marketplace interactions and spillover effects.\nProduct & Cross-Functional Leadership\nTranslate ambiguous business problems into deployable modeling solutions and influence product strategy through clear communication to both technical and executive audiences.\nShape and evaluate product initiatives that improve host experience and profitability, aligning cross-functional teams on metrics, assumptions, and key trade-offs.\nTechnical Excellence\nWrite production-ready Python code; own model deployment, monitoring, and retraining.\nDrive team standards for reproducibility, ML ops, and scientific rigor.\nYour profile\nYou are a creative and rigorous data scientist who is energized by mathematically complex, ambiguity-rich problems. You thrive at the intersection of econometrics, machine learning, and optimization, and you’re comfortable translating unstructured questions into statistical frameworks and deployed solutions.\nYou think in equations as easily as in product narratives, and you can reason about incentives, elasticity, and market equilibrium without needing perfect data. You love working on consumer marketplaces, experimenting in production, and seeing your models influence real-world outcomes.\n7+ years of relevant industry experience and an advanced degree in a quantitative field.\nDeep expertise in statistics, econometrics, machine learning and optimization with demonstrated application to pricing or prediction problems.\nStrong causal inference background including experiment design and quasi-experimental methods.\nSolid understanding of economics, including supply-demand dynamics and elasticity modeling.\nPython proficiency; fluent in SQL and large-scale data work.\nExceptional communication skills, capable of distilling complex modeling work into clear, strategic narratives for executive leadership.\nSelf-driven learner with strong ownership, attention to detail, and a drive for delivering real business impact.\nBonus if you have\nPhD in a quantitative field such as economics, statistics, machine learning, etc.\nExperience with marketplace or platform problems.\nBackground in structural modeling, market design, dynamic programming, or advanced statistical methods (hierarchical models, time-series forecasting, survival analysis, Bayesian inference, synthetic control).\nTrack record shipping pricing or optimization systems to production.\nExperience with AWS stack or similar cloud infrastructure.\nFamiliarity with Airflow or ML orchestration tools.\nFor this role, the target base salary range in San Francisco is $182,000-$228,000 annually. This role is also eligible for equity and benefits. In general, our ranges reflect the market-based target for new hire salaries based on the level and location of the role. Within the range, individual pay is determined by objective factors assessed during the application and interview process, such as job-related skills, experience, and relevant education or training. We encourage you to talk with your recruiter to learn more about the total compensation and benefits available for this role.\nTuro highly values having employees working in-office to foster a collaborative work environment and company culture. This is central to how we work, and this role will be subject to our current in-office hybrid schedule that requires Turists to work in the office three days per week on Mondays, Wednesdays, and Thursdays. We expect that employees will meet these required in-office days consistently as part of their role. Your recruiter can share more information about this requirement and the in-office perks Turo offers.\nTuro Recruiting Scam Alert:\nWe’ve learned that there are scammers targeting job candidates by impersonating Turo and its employees. We ask candidates to be careful of fraudulent job postings or suspicious recruiting activity during their job search, especially if they’re contacted through unofficial channels (such as Instagram, Telegram, MS Teams, etc.). In general, Turo interacts with candidates through our Careers page and via turo.com email addresses, and we don’t ask candidates for sensitive financial or personal info or request money as part of the hiring process (so an application fee or equipment costs). If candidates are not sure whether they’re dealing with an impersonator, they can contact Turo’s Recruiting Team at . Candidates can also report suspicious activity to the FTC or other appropriate authorities.\nTuro AI Policy:\nTuro may use AI-enabled tools to support our recruiting operations, including gathering information from candidates, drafting communications, helping with interview note-taking and assessment, and so on. These tools only supplement our team; all decisions to advance or hire candidates are made by Turo employees. While we welcome candidates to use AI-enabled tools to help prepare for their interviews, the use of such tools, including any AI chatbots or note-takers, is not permitted during live interviews or technical assessments. We want to see how you consider and solve problems in real-time, so interviews and assessments are all you (unless we indicate otherwise and ask you specifically to use an AI-enabled tool to answer a question). If during the application process you require the use of an AI-enabled tool as a reasonable accommodation for a disability, please let us know at .\nBenefits\nCompetitive salary, equity, benefits, and perks for all full-time employees\n\nEmployer-paid medical, dental, and vision insurance (Country specific)\n\nRetirement employer match\n\nLearning & Development stipend to invest in your professional development\n\nTuro host matching program\n\nTuro travel credit\n\nCell phone and internet stipend\n\nPaid time off to relax and recharge\n\nPaid holidays, volunteer time off, and parental leave\n\nFor those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities\n\nWe are committed to building a diverse team. If you are from a background that's underrepresented in tech, we'd love to meet you.\nAside from an award winning work environment and the opportunity to be part of the world’s largest car sharing marketplace, we are also growing the team quickly - join us! Even if you don't meet every qualification, we are looking for people with enthusiasm for what we do and we will consider you for this and other possibilities.\nAbout Turo\nTuro is the world’s largest car sharing marketplace where you can book the perfect car for wherever you’re going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, Turo puts you in the driver's seat of an extraordinary selection of cars shared by local hosts.\nDiscover Turo at https://turo.com, the App Store, and Google Play, and check out our blog, Field Notes.\nRead more about the Turo culture according to Turo CEO, Andre Haddad.\nTuro is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives.\nTuro will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable.\nWe welcome candidates with physical, mental, and/or neurological disabilities. If you require assistance applying for an open position, or need accommodation during the recruiting process due to a disability, please submit a request to People Operations by emailing .","description_format":"text","description_chars":9029,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Professional development","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Internet Services","Web Security & DDoS Protection"],"lifecycle":[{"event":"open","at":"2026-10-12T18:07:47Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 27 · green card filings: 14","filings_12m":27,"filings_prev_12m":38,"green_card_filings_12m":14,"median_offered_wage_usd":194207,"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":3}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":36,"reasons":["conf:2","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":228000,"is_top_pay":true},"html_url":"https://alion.io/job/turo-staff-data-scientist-dynamic-pricing","json_url":"https://alion.io/job/turo-staff-data-scientist-dynamic-pricing.json","meta":{"generated_at":"2026-10-13T15:04:57Z","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":"assistant_verified","counted_by":"address","units_charged":1,"used_today":3019,"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":171962},"rest":"https://alion.io/mcp/rest/get_company?id=171962"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fturo-staff-data-scientist-dynamic-pricing"},{"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%2Fturo-staff-data-scientist-dynamic-pricing"},{"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%2Fturo-staff-data-scientist-dynamic-pricing"},{"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/turo-staff-data-scientist-dynamic-pricing\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fturo-staff-data-scientist-dynamic-pricing"}]}