Data Scientist II - Trust & Safety

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  "active_status": "active"
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  "language": "en",
  "location": {
    "raw": "New York, NY",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
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  "inferred_at": "2026-06-06T07:56:15.677Z",
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    "countries": [
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  "remote_policy": "hybrid",
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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "<div>\n\n<li data-section-id=\"1n7lk9\" data-start=\"1610\" data-end=\"1778\">Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations</li>\n<li data-section-id=\"fdd3h1\" data-start=\"1779\" data-end=\"1935\">Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences</li>\n<li data-section-id=\"hixdq5\" data-start=\"1936\" data-end=\"2063\">Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time</li>\n<li data-section-id=\"3l8j1k\" data-start=\"2064\" data-end=\"2199\">Translate complex research findings into clear narratives, tools, and recommendations for product, policy, and leadership audiences</li>\n<li data-section-id=\"j1rmvk\" data-start=\"2200\" data-end=\"2402\">Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, “no regrets” design</li>\n<li data-section-id=\"1ms9vsw\" data-start=\"2403\" data-end=\"2594\">Build and improve evaluation methods, including LLM-based evaluation approaches, behavioral instrumentation, and measurement frameworks in collaboration with data scientists and engineers</li>\n<li data-section-id=\"1ms9vsw\" data-start=\"2403\" data-end=\"2594\">You will work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists. Your work will help inform decisions that often involve senior leadership.</li>\n\n</div>"
    },
    {
      "text": "Who You Are",
      "content": "<div>\n\n<li data-section-id=\"m9e845\" data-start=\"2816\" data-end=\"2974\">You have 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain</li>\n<li data-section-id=\"1wjhyot\" data-start=\"2975\" data-end=\"3091\">You are experienced with SQL and Python and are comfortable working across quantitative and qualitative evidence</li>\n<li data-section-id=\"11idt1k\" data-start=\"3092\" data-end=\"3281\">You have hands-on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, and understand how risks emerge from system design</li>\n<li data-section-id=\"knxqy9\" data-start=\"3282\" data-end=\"3437\">You are comfortable scoping ambiguous problems, including early-stage or zero-to-one research areas, and prioritizing them in a fast-moving environment</li>\n<li data-section-id=\"ibwjsq\" data-start=\"3438\" data-end=\"3592\">You communicate clearly with both technical and non-technical audiences, including explaining methodological choices to policy partners and leadership</li>\n<li data-section-id=\"jhmefk\" data-start=\"3593\" data-end=\"3710\">You care about turning research into practice and are comfortable making concrete, evidence-based recommendations</li>\n<li data-section-id=\"4ykohp\" data-start=\"3711\" data-end=\"3830\">You bring a thoughtful perspective on responsible product innovation and how to measure and improve platform safety</li>\n\n</div>"
    },
    {
      "text": "Where You'll Be",
      "content": "<div>\n\n<li data-section-id=\"1hfhcaz\" data-start=\"3855\" data-end=\"3908\">This role is based in New York or Boston</li>\n<li data-section-id=\"34byis\" data-start=\"3909\" data-end=\"4060\">We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>\n<li data-section-id=\"lam9ve\" data-start=\"4061\" data-end=\"4139\">This team operates within the Eastern Standard time zone for collaboration</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1778677750508,
  "updatedAt": null,
  "categories": {
    "team": "Trust & Safety",
    "location": "New York, NY",
    "commitment": "Permanent",
    "department": "Data and Analytics",
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      "New York, NY",
      "Boston, MA"
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