{"id":1540060,"url":"https://alion.io/job/procter-gamble-senior-data-scientist-supply-chain-planning","title":"Senior Data Scientist (Supply Chain Planning)","company":{"id":871,"name":"Procter & Gamble","domain":"pg.com","url":"https://alion.io/company/pgcareers","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":109,"ghost_share":0,"stale_share":0.716,"repost_share":0.009,"time_to_fill_p50_days":42,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":108},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Clean Architecture","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"NumPy","optional":false},{"name":"Pydantic","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SOAP","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series","optional":false},{"name":"Azure","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-30T20:55:41Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T02:43:54Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Job Location\nWARSAW - EU SUPPLY NETWORK HUBJob Description\nWithin our Demand Planning team, we forecast how much of our everyday essentials (like diapers, laundry detergents, disinfectants, soap or shampoos) our retail customers will order - helping P&G stay ready to meet that demand wherever and whenever it arises. We’re looking for an ambitious Senior Data Scientist who thrives in high-impact environments, builds ML models, transforms them into production-ready pipelines, and understands the balance between technical excellence and business relevance. You’ll be joining a global organization with strong data maturity, where you’ll shape scalable solutions across forecasting, optimization, and applied analytics domains.\nWhat You’ll Do:\nDesign, develop, and deploy demand-forecasting models for the full product lifecycle (from product launch through discontinuation)\nAdvance our forecasting engines with techniques such as time-series clustering and statistical/ML modeling (scikit-learn, stats models)\nLead initiatives on feature engineering, model evaluation, and forecast-accuracy monitoring at scale\nBuild and maintain robust, config-driven data pipelines using Databricks and PySpark\nCollaborate with cross-functional teams on end-to-end solution delivery - from prototype to production\nContribute to our internal forecasting library and advocate for clean architecture, modular design, and long-term maintainability\nLead cross functional teams and support management with a data-driven decision making\nJob Qualifications\n Solid Data Science background in areas of: Time Series forecasting, Supervised learning, and ML/statistical algorithms (scikit-learn, statsmodels)\nStrong Python programming skills, with hands-on experience across the scientific stack (pandas, NumPy, SciPy)\nExperience turning models into production-ready, modular pipelines with clean architecture and config-driven design (e.g. Pydantic)\n Proficiency with version control (Git)\nAt least 4 years of experience as a Data Scientist or a related position (Data Engineer / Software Engineer / AI Engineer / ML Ops)\nExcellent collaboration skills and working comfortably within a cross-functional team\nShown success in leadership, problem solving and priority setting\nEnglish proficiency and at least a Bachelor's degree\nNice to have:\nExperience building distributed data pipelines with PySpark on Databricks, and familiarity with SQL and Azure\nExposure to demand/sales forecasting, product-lifecycle modeling, or forecast-accuracy evaluation\nPrior background knowledge of Supply Chain or FMCG domains\nWhat we offer\nWork in an international Data Science team with global responsibilities (with large part of engineering and product teams located in Warsaw)\nLong-term career with development and growth opportunities\nCompetitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)\nRelevant trainings, certifications, conference participation\nInternal coaching programs & training\nFlexible working arrangements\nWho we are\nP&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.\nWe commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nAt Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.\nAt P&G #weseeequal\nWe are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.\nWe ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.\nKindly be advised that at P&G, employment is exclusively extended on the basis of \"Umowa o Pracę\" (Full-time Employment Contract). Apply only if you agree to these conditions.\nJob Schedule\nFull timeJob Number\nR000156162Job Segmentation\nExperienced Professionals","description_format":"text","description_chars":5163,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule","Growth opportunities","Hybrid work","Life insurance","Stock options"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Baby Products","Hair Care Products","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-09-30T20:55:41Z"},{"event":"close","at":"2026-10-21T19:40:23Z"},{"event":"reopen","at":"2026-10-21T22:19:58Z"}],"visa":[],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.607,"p_room":0.9,"age_days":21,"expected_fill_days":42,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/procter-gamble-senior-data-scientist-supply-chain-planning","json_url":"https://alion.io/job/procter-gamble-senior-data-scientist-supply-chain-planning.json","meta":{"generated_at":"2026-10-22T10:59:05Z","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":8571,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":871},"rest":"https://alion.io/mcp/rest/get_company?id=871"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprocter-gamble-senior-data-scientist-supply-chain-planning"},{"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%2Fprocter-gamble-senior-data-scientist-supply-chain-planning"},{"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%2Fprocter-gamble-senior-data-scientist-supply-chain-planning"},{"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/procter-gamble-senior-data-scientist-supply-chain-planning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprocter-gamble-senior-data-scientist-supply-chain-planning"}]}