{"id":3057164,"url":"https://alion.io/job/hp-data-scientist","title":"Data Scientist","company":{"id":2088298,"name":"HP","domain":"hewlett-packard.de","url":"https://alion.io/company/hewlett-packard-de","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":136,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tlaquepaque, Mexico","Bengaluru, India"],"countries":["MX","IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"MLFlow","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Power BI","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2025-12-16T00:00:00Z","employer_posted_date":"2025-12-16","last_verified_at":"2026-10-25T00:52:38Z","board_verified":true,"closed_at":null,"days_open":313,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":313},"description":"Data ScientistDescription -\nJob Description\nRole Purpose\nWe are looking for a hands-on Data Scientist to strengthen our analytics pipelines that support planning, forecasting, and inventory optimization across the HP supply chain network. This role bridges data science modeling and analytics operations, ensuring that analytical work moves smoothly from exploration to deployment and supports better planning and decision making. The position works closely with other data scientists, data engineers, and planning teams to design, test, and scale model-driven solutions in Databricks and GitHub.\nKey Responsibilities\nBuild and maintain reproducible analytical workflows in Databricks using Python, PySpark, and MLflow.\nApply feature engineering best practices, including lag features, rolling averages, and proper handling of data cutoffs.\nTranslate prototypes into parameterized, reusable code that supports weekly or monthly production runs.\nDevelop and evaluate models for short-term forecasting, attach rate tracking, and inventory buffer analysis.\nLink model outputs to business metrics such as forecast accuracy, bias, and service level.\nWork with planners and business teams to turn exceptions, backlog, or service issues into data features or analytical logic.\nEnsure version control and reproducibility through GitHub and configuration files.\nSupport integration of model results with dashboards and decision support tools.\nPartner with data engineering to validate data pipelines and maintain data quality.\nCollaborate with domain data scientists to convert recurring manual logic into automated processes.\nParticipate in code reviews and documentation to ensure consistency and knowledge sharing.\nIdentify redundant or manual processes and refactor them into shared functions or libraries.\nContribute to internal best practices for model reproducibility, documentation, and analytics transparency.\nRequired Skills and Experience\nStrong programming skills in Python, SQL, Databricks, GitHub, and MLflow. Experience with Pandas, PySpark, and Scikit-learn. Demonstrated ability to build regression, classification, or time-series models for business applications. Familiarity with feature engineering techniques such as lag, rolling, and categorical encoding, and awareness of methods to prevent data leakage. Experience with workflow automation, reproducibility, and parameterized scripts. Ability to explain analytical results and model behavior in business terms.\nNice to Have\nKnowledge of supply chain or planning data such as forecast, backlog, and inventory. Experience with Power BI or similar visualization tools.\nWho You Are\nYou are a problem solver who enjoys turning analytical ideas into practical solutions. You are comfortable working across data and business contexts and can connect statistical concepts to operational outcomes. You are methodical, organized, and eager to help others build analytical and coding capability.\nJob -\nData & Information TechnologySchedule -\nFull timeShift -\nFirst Shift (Mexico)Travel -\nRelocation -\nNoEqual Opportunity Employer (EEO)-\nHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","description_format":"text","description_chars":4009,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laptops","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-10-22T04:18:02Z"}],"visa":[],"liveness":{"score":2,"band":"cold","label":"Long shot","p_open":1,"p_active":0.061,"p_room":0.28,"age_days":313,"expected_fill_days":18,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/hp-data-scientist","json_url":"https://alion.io/job/hp-data-scientist.json","meta":{"generated_at":"2026-10-25T09:02:41Z","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":12946,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":2088298},"rest":"https://alion.io/mcp/rest/get_company?id=2088298"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhp-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%2Fhp-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%2Fhp-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/hp-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhp-data-scientist"}]}