{"id":1521071,"url":"https://alion.io/job/root-insurance-lead-data-scientist-telematics","title":"Lead Data Scientist, Telematics","company":{"id":58633,"name":"Root Insurance","domain":"joinroot.com","url":"https://alion.io/company/root-insurance","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":92,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0.2,"time_to_fill_p50_days":45,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":142800,"max":178500,"currency":"USD","period":"year","gross":null,"usd_annual":178500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-21T21:14:39Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-21T21:14:09Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Root was founded on the belief that car insurance is broken, and we set out to change it. We’re harnessing the power of technology to revolutionize this archaic, complicated industry. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative insurtech companies in the world.\nThe Opportunity\nWe believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.\nRoot is seeking a Lead Data Scientist I to support the Telematics Data Science team. This is a hands-on role focused primarily on developing and maintaining telematics pricing and underwriting models, with a significant secondary responsibility for the data engineering and production systems that support those models.\nThe role is expected to spend approximately 65% of its time on Data Science and 35% on Data Engineering. Data Science responsibilities include problem definition, dataset development, feature engineering, statistical modeling, model evaluation, stakeholder validation, regulatory support, and post-deployment monitoring.\nData Engineering responsibilities include building and maintaining reliable modeling datasets, improving data pipelines and transformations, validating data quality and lineage, productionizing models, troubleshooting pipeline and system issues, and improving the reliability and maintainability of the Telematics data ecosystem.\nThis role requires someone who can work across the full lifecycle of a telematics model-from raw data ingestion through model development, production deployment, monitoring, and ongoing operational support. The successful candidate will partner closely with Data Science, Data Engineering, Software Engineering, Pricing, Actuarial, Product, and Compliance teams to deliver reliable and measurable business outcomes.\nSalary Range: $142,800 - $178,500 (Eligible for competitive bonus and equity offering)\nRoot is a “work where it works best” company. Meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus, Ohio.\nData Science and Machine Learning\nStrong knowledge of statistical modeling and machine learning methods, including GLMs, tree-based models, time-series analysis, feature engineering, model evaluation, resampling, and hyperparameter tuning.\nFamiliarity with advanced methods such as neural networks, survival analysis, causal inference, or Bayesian modeling is preferred but not required.\nTelematics Data Engineering and Production Systems\nDemonstrated experience building and maintaining production-quality data pipelines, modeling datasets, and data transformations.\nStrong programming skills in Python and SQL, including the ability to write, test, review, and maintain production code.\nExperience with version control, automated testing, code review, CI/CD, and cloud-based data or machine learning systems.\nExperience validating data quality, lineage, completeness, consistency, and schema stability.\nAbility to troubleshoot issues across data, application, pipeline, and infrastructure layers.\nExperience deploying, monitoring, and maintaining production machine learning models.\nProduct, Pricing and Actuarial Integration\nWork closely with Product Management, Pricing and Actuarial teams to ensure alignment and integration between Data science models and Product/Pricing considerations\nData Science Leadership and Innovation\nLead innovation by introducing new statistical algorithms and modeling techniques.\nPrototype, test, retest and scale approaches.\nAdopt and refine modeling best practices, documentation standards, and peer reviews.\nCompliance and Audit\nThe statistical models built should comply with state specific regulatory requirements and constraints.\nProviding modeling support, documentation and explainability to state regulators.\nWhat You Will Need to Succeed\nAdvanced degree in a quantitative discipline (PhD preferred) and/or 5+ years of applying advanced quantitative techniques to problems in industry\nStrong demonstrable knowledge of topics such as statistical modeling, machine learning, and numerical optimization\nExceptional communicator and storyteller with strong data visualization skills\nStrong programming skills with experience in SQL and Python\nDemonstrated experience building, validating, and applying statistical machine learning methods to real world problems\nDemonstrates ownership mentality, taking initiative to find, prioritize, and be accountable for the highest impact work\nAbility to frame functional problem statements for the next 1-2 months, consistently making good decisions about the right path to follow in a well-defined problem space\nExperience using version control (e.g. Git) and cloud computing (AWS or analogous)\nPreferred but not required:\nExperience in one or more insurance lines (P&C, Life, Health, Specialty)\nFamiliarity/understanding of insurance concepts such as Loss ratios, Loss Cost, Claims frequency etc\n\nAs part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.\nPlease see our Privacy Notice available HERE for more information on how we process your personal data.\nConsistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact .","description_format":"text","description_chars":6230,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","InsurTech"],"lifecycle":[{"event":"open","at":"2026-09-30T11:53:27Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":29,"expected_fill_days":45,"reasons":["conf:3","velocity","win:mid"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":178500,"is_top_pay":false},"html_url":"https://alion.io/job/root-insurance-lead-data-scientist-telematics","json_url":"https://alion.io/job/root-insurance-lead-data-scientist-telematics.json","meta":{"generated_at":"2026-10-21T22:23:16Z","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":31914,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":58633},"rest":"https://alion.io/mcp/rest/get_company?id=58633"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Froot-insurance-lead-data-scientist-telematics"},{"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%2Froot-insurance-lead-data-scientist-telematics"},{"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%2Froot-insurance-lead-data-scientist-telematics"},{"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/root-insurance-lead-data-scientist-telematics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Froot-insurance-lead-data-scientist-telematics"}]}