{"id":2260595,"url":"https://alion.io/job/nike-lead-data-scientist-converse","title":"Lead, Data Scientist - Converse","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":126700,"max":258400,"currency":"USD","period":"year","gross":null,"usd_annual":258400},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-13T07:36:41Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"The annual base salary for this position ranges from $126,700.00 in our lowest geographic market to $258,400.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.Information about benefits can be found here.\nLead, Data Scientist, Performance Operations & Insights\nLocation: Boston, MA\nBecome Part of the Converse Team\nConverse is a place to explore potential, break barriers, and push the edges of what can be. We look for people who can grow, think, dream, and create-bringing skills and passion to a constantly evolving world.\nAbout Our Team\nThe EBP Performance Operations & Insights team sits at the center of Enterprise Business Planning, translating enterprise performance data into actionable insights that power both in-season execution and long-range planning.\nWe are evolving from reporting to decision-ready analytics at scale-enabling a single global view of performance while accounting for regional nuance. At the same time, we are helping to instill a culture of performance management across Converse-driving greater clarity, accountability, and consistency in how performance is measured, understood, and acted upon across the enterprise.\nThe Role\nThe Lead, Data Scientist, EBP Performance Operations & Insights is a Boston-based role responsible for advancing global analytics and embedding more sophisticated technical capabilities into planning workflows.\nThis role partners with numerous cross-functional stakeholders to deliver scalable, decision-oriented insights-blending business context, analytics, and technical execution to improve how performance is understood and acted upon across the enterprise.\nWhat You’ll Do\nDeliver and evolve global performance insights across demand, inventory, product, and channel views\nTranslate complex or ambiguous business questions into structured, scalable analytics solutions + insights\nDevelop forward-looking analyses to identify trends, risks, and opportunities\nBuild and scale analytics solutions that improve speed, automation, and consistency of insights\nPartner with Technology to enhance data quality, accessibility, and usability\nContribute hands-on across data modeling, querying, and advanced analytics workflows\nDrive alignment on metrics, definitions, and reporting outputs across regions\nTranslate complex analytical outputs into clear, executive-ready recommendations\nLeverage Python, SQL, machine learning, and emerging AI technologies to create scalable analytical products that accelerate decision-making across the enterprise\nAct as a strategic thought partner to Planning leaders, translating complex analytical findings into clear recommendations that drive growth, profitability, inventory productivity, and consumer outcomes\nRole Requirements\nStrong technical foundation in data manipulation, modeling, and large-scale data analysis\nSignificant experience applying advanced analytical methods such as regression analysis, time-series modeling, cohort analysis, or optimization techniques\nAbility to design and evaluate models that surface patterns, forecast outcomes, or quantify risk and opportunity\nProven experience using analytical rigor, AI-enabled methods, and rapid experimentation to solve complex business problems in imperfect data environments\nExperience working with imperfect or incomplete data and building structured approaches to improve signal quality\nProficiency in querying, data transformation, and building reusable analytical workflows\nExperience developing scalable solutions that move from one-off analysis to productionized outputs\nAbility to frame ambiguous business problems into analytically tractable approaches\nStrong communication skills, with the ability to clearly explain methodologies, assumptions, and implications to non-technical stakeholders\nExperience partnering cross-functionally, balancing priorities across numerous stakeholder groups\nCurious, adaptable, creative problem-solving mindset\nStrong attention to detail and accountability for delivery\nQualifications\n5+ years of experience in advanced analytics, data science, or related technical roles (retail/consumer preferred)\nProficient in Python development (pandas, scikit-learn, statistical modeling, optimization)\nAdvanced in SQL (data transformation, complex querying, data engineering concepts\nFamiliarity with cloud analytics environments and modern data stacks/ platforms (Data Bricks and Snowflake preferred)\nPractical application of AI/ML, including:Generative AI\nLLM-based workflows\nAgentic systems\nRetrieval-Augmented Generation (RAG)\nForecasting and predictive modeling\n\nAbility to rapidly prototype and scale solutions\nAdvanced understanding of BI and visualization tools (e.g., Sigma preferred, Tableau)\nDemonstrated experience turning unstructured data into actionable insights\nExperience leading and owning complex projects\nSolid understanding of planning concepts such as demand, inventory, and seasonality a plus\nWhy This Role Matters\nThis role plays a critical part in advancing Converse's transformation toward a more data-driven, performance-oriented organization. As the business continues to navigate an increasingly dynamic marketplace, the Lead, Data Scientist, Performance Operations & Insights helps ensure decisions are grounded in timely, trusted, and actionable insights. By combining deep analytical expertise with an understanding of planning and enterprise priorities, this role enables leaders to identify risks and opportunities earlier, improve alignment across functions and geographies, and make more informed decisions that drive growth, profitability, and operational efficiency. Beyond delivering insights, this role helps shape the future of analytics at Converse by building scalable solutions, embedding AI-enabled capabilities into planning processes, and reinforcing a culture of performance management where outcomes are measured consistently, accountability is clear, and data drives action across the enterprise.\nWe offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","description_format":"text","description_chars":6674,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Footwear","Sporting Goods","Sportswear & Activewear"],"lifecycle":[{"event":"open","at":"2026-10-11T05:08:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 220 · green card filings: 201","filings_12m":220,"filings_prev_12m":373,"green_card_filings_12m":201,"median_offered_wage_usd":162441,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":11}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.593,"p_room":0.45,"age_days":19,"expected_fill_days":10,"reasons":["conf:2","win:tail","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":258400,"is_top_pay":true},"html_url":"https://alion.io/job/nike-lead-data-scientist-converse","json_url":"https://alion.io/job/nike-lead-data-scientist-converse.json","meta":{"generated_at":"2026-10-13T10:12:12Z","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":15555,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":1634},"rest":"https://alion.io/mcp/rest/get_company?id=1634"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnike-lead-data-scientist-converse"},{"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%2Fnike-lead-data-scientist-converse"},{"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%2Fnike-lead-data-scientist-converse"},{"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/nike-lead-data-scientist-converse\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnike-lead-data-scientist-converse"}]}