{"id":2484915,"url":"https://alion.io/job/questarauto-senior-data-scientist-individual-contributor-questar-auto-technologies","title":"Senior Data Scientist — Individual Contributor - Questar Auto Technologies","company":{"id":4419239,"name":"Questar Auto Technologies Ltd.","domain":"questarauto.com","url":"https://alion.io/company/questarauto","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herzliya, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":199000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Physical AI","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:04:46Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-20T00:45:57Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"We are hiring a senior individual contributor to join our Data Science team. This is a hands-on role for someone who can take ownership of the full solution, from understanding the problem and building the required data pipelines to developing the model, deploying it, and keeping it reliable in production. You should be comfortable working across data, code, infrastructure, and monitoring independently.\nThe domain is genuinely hard: noisy sensor and telemetry data, weak and delayed labels, enormous scale, and physical systems that fail in complicated ways.We use whatever technique the problem calls for, from classical machine learning and survival analysis to our own patent-pending deep learning architectures and agentic flows already running in production.\nThe team moves quickly and operates with a startup mentality: high ownership, short decision paths, and a strong bias toward action. When we encounter a difficult problem, we do not stop at “we can’t.” We ask, “How can we?”\nMoving fast does not mean cutting corners. It means combining resourcefulness and practical judgment with scientific rigor, engineering quality, and production reliability.\nWe also have proprietary methods for validating results against ground truth, so the feedback loop is real: when a solution works, it ships. You will see your work in production and understand its impact on real fleets.\nWhat you’ll do\nOwn projects end to end: stakeholder discussions, problem framing, data exploration, modeling, validation, deployment, and post-launch monitoring.\nTurn ambiguous or partially defined business needs into clear, practical, and measurable solutions.\nBuild predictive and prescriptive models over large-scale vehicle telemetry, diagnostics, and fault data.\nDesign, build, and maintain scalable, reproducible, and well-tested data pipelines over billions of daily data points.\nBuild and operate the workflows required for training, validation, inference, and ongoing evaluation.\nTake responsibility for getting solutions into production, including automated testing and deployment, environment configuration, monitoring, and troubleshooting.\nChoose the right tool for each problem, from gradient boosting and survival analysis to deep architectures over raw signals-and clearly explain your decisions.\nDesign evaluations that reflect reality, use our proprietary validation methods, and challenge metrics that tell a comfortable but misleading story.\nDevelop and integrate agentic and LLM-based flows that explain findings, recommend actions, and build the relevant evals.\nInvestigate failures across data, models, workflows, and production systems.\nPresent findings, trade-offs, and results clearly to business stakeholders and executive leadership.\nRaise the technical bar through reviews, mentorship, and shared standards, as a senior IC, not a people manager.\nQualifications\nMSc in Computer Science or an engineering-related quantitative field, such as Electrical Engineering, Statistics, Physics, or Applied Mathematics. A PhD is an advantage.\nAt least eight years of industry experience in a related data science or machine learning role.\nProven experience taking machine learning solutions to production, not only building prototypes and notebooks, but deploying, monitoring, maintaining, retraining, and troubleshooting what you shipped.\nStrong experience building reliable, performant, and well-tested data pipelines over very large datasets.\nStrong experience with Spark, distributed computing, SQL, and modern big data platforms. Databricks experience is a significant advantage.\nPractical experience with automated testing and deployment, cloud-based systems, workflow orchestration, monitoring, and production troubleshooting.\nExperience delivering LLM or agentic applications to production, including evaluation, guardrails, and cost and latency trade-offs.\nStrong foundations across statistics, experimental design, classical machine learning, and modern deep learning.\nExcellent Python skills and fluency with PyTorch.\nDemonstrated ability to work comfortably across data science, data engineering, model deployment, and production systems.\nDemonstrated ability to lead projects independently, make sound decisions under ambiguity, and determine what should-and should not-be built.\nA proactive and resourceful mindset. You naturally look for viable solutions rather than stopping at constraints.\nVery good English communication skills, with the ability to present clearly to business stakeholders and C-level audiences.\nAdvantages\nExperience in automotive, telematics, IoT, predictive maintenance, or industrial and physical systems.\nExperience with anomaly detection, remaining useful life, or failure prediction using weak or delayed labels.\nExperience designing and operating end-to-end machine learning systems.\nWhat we offer\nA fast-moving environment with a startup mentality and the scale, data, and customers required to create real impact.\nA senior, high-caliber team that values initiative, pragmatism, versatility, and people who make things happen.\nBroad ownership across data, modeling, deployment, and production systems.\nHard problems worth solving, with the freedom to challenge assumptions and find better approaches.\nWork that reaches production and measurably reduces cost and downtime for fleets across four continents.\n Who We AreQuestar is a physical AI company building the next generation of vehicle health management. We detect real vehicle problems before they surface, explain what is happening, and recommend exactly what to do, reducing maintenance costs and downtime for commercial fleets.\nWe ingest billions of data points every day from our customers’ vehicles and turn them into a Total Fleet Health solution. Questar is a pioneer in total vehicle health management, serving Tier 1 suppliers, OEMs, leasing companies, service providers, and enterprise fleets.\nQuestar Auto Technologies is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.","description_format":"text","description_chars":6158,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T00:04:46Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":5,"expected_fill_days":36,"reasons":["conf:3","win:early"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/questarauto-senior-data-scientist-individual-contributor-questar-auto-technologies","json_url":"https://alion.io/job/questarauto-senior-data-scientist-individual-contributor-questar-auto-technologies.json","meta":{"generated_at":"2026-10-20T03:37:18Z","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":4012,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":4419239},"rest":"https://alion.io/mcp/rest/get_company?id=4419239"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquestarauto-senior-data-scientist-individual-contributor-questar-auto-technologies"},{"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%2Fquestarauto-senior-data-scientist-individual-contributor-questar-auto-technologies"},{"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%2Fquestarauto-senior-data-scientist-individual-contributor-questar-auto-technologies"},{"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/questarauto-senior-data-scientist-individual-contributor-questar-auto-technologies\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquestarauto-senior-data-scientist-individual-contributor-questar-auto-technologies"}]}