{"id":64819,"url":"https://alion.io/job/insulet-staff-data-scientist","title":"Staff Data Scientist","company":{"id":5958,"name":"Insulet","domain":"insulet.com","url":"https://alion.io/company/insulet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":91,"open_postings":38,"ghost_share":0.026,"stale_share":0.184,"repost_share":0.158,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-08-20T04:53:22Z","employer_posted_date":null,"last_verified_at":"2026-08-20T04:53:22Z","board_verified":false,"closed_at":null,"days_open":58,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":58},"description":"The Senior Data Scientist will be a core contributor within the India COE data science practice, responsible for independently designing and executing statistical analyses, developing predictive models, and translating complex data into clear, defensible insights that inform business decision-making. This role partners closely with business partners to convert business questions into well-scoped analytical problems and works with Data Engineering, Analytics Engineering, and AI Engineering to ensure outputs are reproducible, governed, and actionable. The Senior Data Scientist is expected to execute end-to-end analytical work with limited oversight while contributing to shared methods, reusable code, and model documentation standards.\nThe candidate will have responsibilities across the following functions:\nStatistical Analysis and Quantitative Methods:\nDesign and execute statistical analyses in response to business questions, including hypothesis testing, significance testing, power analysis, and confidence interval estimation.\nApply causal inference techniques to observational data where controlled experiments are not feasible, including difference-in-differences, regression discontinuity, propensity score matching, and synthetic control.\nDevelop and execute A/B and multivariate testing frameworks: randomization design, sample size calculation, holdout group construction, and interpretation of results with appropriate uncertainty quantification.\nConduct time-series analysis including decomposition, forecasting, and anomaly detection across business and operational metrics.\nApply survival analysis and event-based modeling to understand time-to-event patterns and duration dependencies in the data.\nBuild segmentation and clustering solutions that identify meaningful structure in complex datasets and support strategic targeting and prioritization.\nDocument all analytical work with clarity: methodology, assumptions, limitations, sensitivity analyses, and confidence in conclusions suitable for peer review.\nPredictive Modeling and Machine Learning:\nDevelop, validate, and monitor predictive models including propensity scoring, churn modeling, demand forecasting, and anomaly detection grounded in statistical best practices.\nApply feature engineering, model selection, regularization, and cross-validation techniques to build models that generalize reliably beyond training data.\nEvaluate model performance using appropriate metrics for the problem type, balancing accuracy, interpretability, calibration, and operational feasibility.\nProduce model documentation covering methodology, assumptions, validation approach, performance benchmarks, and known failure modes.\nMonitor deployed models for drift and degradation, and participate in retraining and re-validation cycles as needed.\nCollaborate with AI Engineering when models are ready for production deployment, providing methodology documentation and supporting the handoff process.\nData Exploration and Problem Framing:\nPartner with business function to translate business questions into well-scoped analytical problems with clear success criteria and measurable outputs.\nConduct exploratory data analysis (EDA) to understand data distributions, quality issues, and structural patterns before committing to an analytical approach.\nAdvise on measurement strategy, testability, and data requirements upstream, flagging when a question cannot be answered reliably with available data.\nIdentify the appropriate analytical method for each problem, knowing when simple statistical tests are sufficient versus when more complex modeling is warranted.\nSurface data quality issues discovered during analysis and escalate them to Data Engineering with clear documentation of the impact.\nAnalytical Quality and Reproducibility:\nWrite clean, well-documented, and reproducible code; all analytical work should be re-runnable and reviewable by a peer without additional explanation.\nParticipate actively in code review, both submitting work for review and reviewing peers' analytical code for methodological soundness and code quality.\nApply appropriate corrections for multiple comparisons, report effect sizes alongside p-values, and communicate uncertainty honestly in all deliverables.\nContribute to shared analytical frameworks, reusable templates, and reference implementations that raise the methodological standard across the team.\nEnsure all deliverables meet the COE's data product certification standards before release.\nPartnership with Cross-Functional Teams:\nWork closely with the business functions as the quantitative execution partner, receiving analytically defined questions and returning rigorous, well-documented findings.\nCommunicate statistical methodology, uncertainty, and analytical limitations clearly and, where needed, to non-technical audiences.\nPartner with Analytics Engineering to connect statistical output to the governed reporting layer, ensuring model scores, segments, and analytical results are operationalized correctly.\nParticipate in sprint ceremonies, peer reviews, and COE-wide delivery forums as an active contributor.\nFrame high-value problems directly with senior business leaders, set the scientific standards for the data science practice, and mentor data scientists operating self-sufficiently.\nRequirements:\nPhD or Master's degree in a quantitative field (statistics, mathematics, econometrics, computer science, or a related discipline) required.\n8+ years of experience in data science, statistical analysis, or applied quantitative research in a professional environment.\nStrong proficiency in Python for statistical and data science workloads: pandas, numpy, scipy, statsmodels, scikit-learn.\nDeep working knowledge of statistical methodology: hypothesis testing, regression analysis, experimental design, causal inference, and Bayesian methods.\nDemonstrated experience applying advanced quantitative methods survival analysis, time-series analysis, clustering, or simulation to real business problems.\nHands-on experience with Databricks for data exploration, collaborative analysis, and notebook-based workflows.\nAbility to communicate statistical findings clearly and honestly to both technical peers and non-technical stakeholders.\nExperience working in a structured delivery environment with sprint cadences and cross-functional collaboration.\nExperience in a regulated industry (life sciences, healthcare, financial services) where analytical methodology is subject to scrutiny or audit.\nConsulting experience in data science and insights delivery roles.\nFamiliarity with quasi-experimental and non-experimental causal inference methods.\nExperience contributing to model handoffs with an AI/ML engineering team, including documentation and validation support.\nExperience working in a global capability center (GCC) or center of excellence (COE) environment.","description_format":"text","description_chars":6888,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Diabetes Devices"],"lifecycle":[{"event":"open","at":"2026-08-20T04:53:22Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 37 · green card filings: 17","filings_12m":37,"filings_prev_12m":51,"green_card_filings_12m":17,"median_offered_wage_usd":152778,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-17T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.672,"p_room":0.28,"age_days":58,"expected_fill_days":27,"reasons":["seen:58","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/insulet-staff-data-scientist","json_url":"https://alion.io/job/insulet-staff-data-scientist.json","meta":{"generated_at":"2026-10-17T23:48:36Z","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":2211,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":5958},"rest":"https://alion.io/mcp/rest/get_company?id=5958"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finsulet-staff-data-scientist"},{"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%2Finsulet-staff-data-scientist"},{"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%2Finsulet-staff-data-scientist"},{"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/insulet-staff-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finsulet-staff-data-scientist"}]}