{"id":1103507,"url":"https://alion.io/job/newton-research-data-scientist","title":"Data Scientist","company":{"id":679538,"name":"Newton Research","domain":"newtonresearch.ai","url":"https://alion.io/company/newtonresearch","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"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":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:36:42Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-28T21:42:50Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Data Scientist\nGreater Boston Area\nCompany Description\nNewton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.\nRole Description\nThis is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data, design experiments, and interpret results. More importantly, you will work with engineering to encode those abilities into software and train Newton to think like a data scientist. The data science team is small, so your work reaches customers quickly and your judgment shapes the product. We value self-motivated individuals who collaborate well across teams and can present and defend findings to stakeholders. \nResponsibilities\nBuild production-level models and algorithms for media planning, audience, measurement and yield problems\nDesign and interpret experiments, including deciding what a result does and does not support\nWork with engineering to encode your judgment into Newton's agents\nContribute to the evals and benchmarks that tell us whether an agent's analysis is correct, not just plausible\nQualifications\nMaster's or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or a related discipline\nStrong foundation in data analysis, statistical modeling, causal inference, and machine learning concepts\nAbility to evaluate a model, a causal experiment, or an AI-generated analysis and identify what it measures, where it fails, and how to verify it\nProficiency in Python, including data science libraries like pandas and scikit-learn\nStrong SQL and experience working with relational databases\nAbility to clearly explain technical concepts to both technical and non-technical audiences\nExperience writing code that ships to production, or with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift, is a plus\nBase Salary Range: $135,000-$165,000 + Equity","description_format":"text","description_chars":2347,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Analytics & Attribution","AI Data Analysts & Text-to-SQL"],"lifecycle":[{"event":"open","at":"2026-09-22T03:05:53Z"}],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.854,"p_room":1,"age_days":6,"expected_fill_days":40,"reasons":["conf:1","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":165000,"is_top_pay":true},"html_url":"https://alion.io/job/newton-research-data-scientist","json_url":"https://alion.io/job/newton-research-data-scientist.json","meta":{"generated_at":"2026-09-29T01:44:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1399,"day_limit":5000,"remaining_today":3601,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}