{"id":3497067,"url":"https://alion.io/job/jain-global-senior-data-scientist","title":"Senior Data Scientist","company":{"id":707050,"name":"Jain Global","domain":"jainglobal.com","url":"https://alion.io/company/jain-global","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":{"min":250000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T08:39:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description:\nJain Global LLC seeks a Senior Data Scientist in New York, NY to collaborate with clients to assess specific analytical needs within trading activities, including cross-referencing market and alternative data, aggregating fungible assets, and researching and back-testing strategies. Requires a Master’s degree in Finance, Financial Mathematics or a related quantitative field or equivalent and three (3) years of experience applying time-series and statistical techniques, including Kalman filtering, rolling regression, and Bayesian hierarchical modeling, to forecast company KPIs and extract latent business performance signals from alternative datasets; utilizing quantamental research methods to integrate fundamental equity analysis with alternative data signals; designing and maintaining production-grade alternative data pipelines in Python and SQL, incorporating outlier detection, panel construction, data imputation using machine learning techniques and multimodal distributions, and KPI outputs; utilizing cohort analysis techniques and causal inference methods to estimate customer acquisition costs, and price elasticities in competitive consumer markets; back testing and validating alternative dataset signals using hypothesis testing, signal decay analysis, and regression-based frameworks to complement and strengthen fundamental long/short equity research; and performing DCF valuation modeling including valuation modeling with multi-scenario analysis. Telecommuting and/or working from home may be permissible pursuant to company policies. 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