{"id":3039803,"url":"https://alion.io/job/adidas-data-scientist","title":"Data Scientist","company":{"id":40940,"name":"Adidas","domain":"adidas.com","url":"https://alion.io/company/adidas","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Portland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":201000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Seaborn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-21T22:24:06Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T02:47:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"PURPOSE\nThe Data Scientist will develop key data science products, methods, and models across the full analytics lifecycle: from defining the business & data understanding to data preparation, modeling, evaluation and deployment.\nKEY RESPONSIBILITIES\nData Science\nLead the development of data science methods, models, and products in support of North America stakeholders. \nEnhance existing data science methods, models, and products.\nContinuously improve our methodologies and challenge the status quo, raising the standards for faster delivery.\nSupport improving and automating the data science platform and our machine learning pipeline to facilitate our data science activities and service use cases.\nData Science Network and Storytelling\nDevelop and nurture a data science network, both within and outside of adidas, to ensure that best practices and innovations are disseminated across the company. \nSupport presenting and promoting results and insights to adidas colleagues at all levels.\nStakeholder Management\nManage relationships with key stakeholders, ensuring their views and requirements are captured.\nAct as the ambassador for your products, showcasing the key functionalities, driving adoption and assuring operational excellence together with IT peers.\nKEY RELATIONSHIPS\nGlobal Data & Analytics (e.g., Data Assets, Data Platforms, Data Governance, Market Teams) \nGlobal IT \nRespective business function (GOPS, Finance, HR, Brand Marketing, Wholesale / Retail) \nHR (Senior) Management \nDigital \nREQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS\nEducation & Professional Experience\nBachelor or Master’s degree in Data Science, Mathematics, Statistics, or related technical discipline. \nAt least 5-7 years work experience, preferably in a data science or analytics environment.\nWill accept any suitable combination of education, training or equivalent relevant job experience. \nProven track record of working with senior stakeholders. \nProficiency in data science methods (including supervised techniques, unsupervised techniques, recommender systems).\nProficiency in Python and at least three of the standard data science programming frameworks (e.g., PySpark, Pandas, Numpy, sklearn, lightgbm, Matplotlib, Seaborn, mlflow).\nFamiliarity with modern cloud compute platforms (e.g., Databricks, Snowflake).\nSolid understanding of relational databases and NoSQL databases.\nProficiency in SQL.\nSolid understanding of Machine Learning Operations (MLOps) required to scale and sustain use cases in a large and global corporation.\nConcise written and oral communication skills (English). \nComfortable presenting complex topics to stakeholders at various organizational levels.\nProven team player that can collaborate across functions and organizations.\nAbility to develop influential and collaborative relationships.\nHigh resilience and solution-oriented attitude.\nadidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We actively encourage individuals with disabilities to apply and will provide reasonable accommodations throughout the recruitment process. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer. \nadidas offers robust and progressive medical, including HSA (Health Savings Account) with employer funding or FSA (Flexible Spending Account) options, dental, vision, prescription drug coverage, adoption, with surrogate and fertility support, short and long-term disability, and basic life and AD&D insurance. Employees are able to enroll in adidas’ 401k plan and Stock Purchase Plan with employer match. Full-time employees are eligible for education assistance and generous Leave policies including 14 weeks of paid parental leave. \n Employees are eligible to earn an annual bonus based on company performance. Employees accrue prorated flexible time off in the amount .4388 hours per day that increases with years of service, twelve paid holidays throughout the calendar year and Service Time Off during milestone years. \nAt adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. The working location of this position is Portland, OR.\nThough our teammates hail from all corners of the world, our working language is English.","description_format":"text","description_chars":4524,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["401k plan","Education assistance","Flexible time off","Hybrid work","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Footwear","Apparel & Fashion Brands","Sportswear & Activewear"],"lifecycle":[{"event":"open","at":"2026-10-21T22:24:06Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":6,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/adidas-data-scientist","json_url":"https://alion.io/job/adidas-data-scientist.json","meta":{"generated_at":"2026-10-23T01:25:12Z","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":2350,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":40940},"rest":"https://alion.io/mcp/rest/get_company?id=40940"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fadidas-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%2Fadidas-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%2Fadidas-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/adidas-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fadidas-data-scientist"}]}