{"id":4309581,"url":"https://alion.io/job/outtake-founding-applied-data-scientist-2","title":"Founding Applied Data Scientist","company":{"id":1963049,"name":"Outtake","domain":"outtake.ai","url":"https://alion.io/company/outtake-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Arize Phoenix","optional":true},{"name":"Braintrust","optional":true},{"name":"ClickHouse","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"DuckDB","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Langfuse","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-14T10:53:32Z","employer_posted_date":null,"last_verified_at":"2026-11-14T10:53:32Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Outtake is an agentic AI platform that detects, monitors, and takes down impersonators to protect trust in the digital-first world. The Founding Applied Data Scientist will build the data foundation, analytical infrastructure, semantic layer, and performance metrics used to improve Outtake’s product, business, and AI systems. The role will also influence pricing, product strategy, AI evaluation, and the future growth of the data function.\n\nResponsibilities\nOwn our analytical data pipeline and infrastructure across product, business, and AI performance data\nBuild and own the long-term roadmap for data infrastructure, analytics, and applied data science at Outtake\nDefine and maintain the semantic layer in our product analytics stack, including Hex and the underlying warehouse models\nBuild canonical performance metrics for our product and business, including activation, usage, retention, customer value, operational efficiency, and agent effectiveness\nPartner with Product and Finance to refine pricing models, usage-based packaging, margin analysis, and customer-level profitability\nWork with Platform Engineering on internal AI performance metrics, evals, benchmarking, observability, and reliability reporting\nDesign dashboards, analyses, and decision-support systems that help the team make fast, high-confidence product and business decisions\nBuild data quality checks, documentation, and metric definitions that make our data trustworthy and easy for others to use\nTranslate ambiguous questions from product, GTM, finance, and engineering into rigorous analyses and practical recommendations\nAs the data function matures, we expect to grow this into a broader team with dedicated ownership across analytics engineering, AI evaluation, and business intelligence\n\nSkills\n5+ years of combined experience as an Engineer, Analytics Engineer, Data Scientist, or closely related role\nStrong proficiency in SQL, ideally with production experience in Postgres and modern analytical modeling patterns\nExperience building reliable data pipelines, data models, semantic layers, or internal analytics infrastructure\nExperience defining product and business metrics from first principles, not just reporting on pre-existing dashboards\nExperience working with modern AI eval frameworks, model performance measurement, LLM observability, or similar systems\nStrong product judgment and the ability to turn ambiguous business or product questions into clear analytical approaches\nComfort working cross-functionally with Product, Engineering, Finance, and GTM stakeholders\nThe ability to communicate complex analyses clearly, including the tradeoffs, caveats, and recommendations that matter\nHigh ownership, a strong bias toward action, and comfort operating in a fast-moving, early-stage environment\nNice to have: experience working with Hex or similar collaborative analytics tools\nNice to have: experience as an early data hire or founding team member in a high-growth startup\nNice to have: experience working with Langfuse, Braintrust, Arize, Phoenix, OpenTelemetry, or similar AI observability/eval tooling\nNice to have: experience working with ClickHouse, BigQuery, Snowflake, Databricks, DuckDB, dbt, or similar analytical data systems\nNice to have: experience with usage-based pricing, unit economics, margin modeling, or customer-level profitability analysis\nNice to have: experience building metrics or evals for AI agents, LLM products, fraud systems, abuse detection, cybersecurity, or trust & safety products\nNice to have: experience building internal tools, notebooks, or lightweight apps that help non-data teammates answer their own questions\n\nBenefits\n100% company-paid medical, dental, and vision for employees.\nFlexible PTO.\nAnnual company retreats and regular in-person events.\n\nCompany Overview\nThe internet went agentic. Legacy defense broke. It was founded in 2023, and is headquartered in New York City, NY, US, with a workforce of 51-200 employees. Its website is https://www.outtake.ai.\n\nCompany H1B Sponsorship\nOuttake has a track record of offering H1B sponsorships, with 5 in 2026, 1 in 2025, 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.","description_format":"text","description_chars":4206,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","AI Agents"],"lifecycle":[{"event":"open","at":"2026-11-14T11:01:44Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["seen:0","win:early"],"computed_at":"2026-11-14T14:49:16Z"},"pay":null,"html_url":"https://alion.io/job/outtake-founding-applied-data-scientist-2","json_url":"https://alion.io/job/outtake-founding-applied-data-scientist-2.json","meta":{"generated_at":"2026-11-14T14:49:16Z","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":15916,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1963049},"rest":"https://alion.io/mcp/rest/get_company?id=1963049"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fouttake-founding-applied-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fouttake-founding-applied-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fouttake-founding-applied-data-scientist-2"},{"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/outtake-founding-applied-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fouttake-founding-applied-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4309581}},{"tool":"search_jobs","arguments":{"company":"outtake.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4309581},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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