{"id":1435812,"url":"https://alion.io/job/hp-inc-data-scientist-3","title":"Data Scientist","company":{"id":72,"name":"HP Inc.","domain":"hp.com","url":"https://alion.io/company/hewlett-packard","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":121,"ghost_share":0,"stale_share":0.702,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vancouver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":105050,"max":161800,"currency":"USD","period":"year","gross":null,"usd_annual":161800},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T07:46:26Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Data ScientistDescription -\nTurn Data Into Stories. Turn AI Into Impact.\nAt HP, we believe data is more than numbers. It's a story waiting to be uncovered. Every dataset contains insights that can improve customer experiences, accelerate innovation, and shape the future of technology. We are seeking a Data Scientist who combines technical expertise, business curiosity, and storytelling skills to transform complex data into compelling narratives that drive action.\nAs part of HP's data science community, you will work at the forefront of Artificial Intelligence, Machine Learning, and Advanced Analytics, applying cutting-edge techniques to solve meaningful business challenges. You'll partner with cross-functional teams to discover opportunities, build intelligent solutions, and communicate insights that influence strategy across the organization.\nWhat You'll Do\nAs a Data Scientist at HP, you will:\nHarness the power of AI, machine learning, and advanced analytics to uncover insights from large, complex, and diverse datasets.\nBuild predictive and prescriptive models that help business leaders make smarter, faster decisions.\nDevelop innovative solutions using machine learning, deep learning, natural language processing, and generative AI technologies.\nPartner with engineering, product, and business teams to create scalable data products and intelligent automation solutions.\nTransform analytical findings into compelling stories that inspire action and help stakeholders understand the \"why\" behind the data.\nCreate impactful data visualizations, dashboards, and presentations tailored for both technical and executive audiences.\nLead data science initiatives from discovery through deployment, ensuring measurable business outcomes.\nMentor and guide fellow data scientists while helping build a culture of continuous learning and innovation.\nContinuously explore emerging AI technologies, industry trends, and advanced analytical methods to keep HP at the forefront of innovation.\nWhat We're Looking For\nYou are a data-driven problem solver who is equally comfortable building models, exploring new AI capabilities, and presenting findings to senior leaders.\nRequired Qualifications\nBachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.\n3+ years of experience in data science, machine learning, analytics, or statistical modeling.\nStrong programming skills in Python, SQL, R, or related technologies.\nExperience working with large-scale structured and unstructured datasets.\nAbility to communicate complex technical concepts through clear, compelling storytelling.\nPreferred Qualifications\nExperience with Generative AI, Large Language Models (LLMs), AI-powered analytics, or intelligent automation solutions.\nExperience deploying machine learning models into production environments.\nCloud experience with AWS and big data technologies such as Apache Spark.\nExperience mentoring team members or leading analytics projects.\nProfessional certifications in Python, SQL, AI, Machine Learning, or Cloud technologies.\nTechnical Expertise\nWe are particularly interested in candidates with experience in:\nArtificial Intelligence and Machine Learning\nGenerative AI and Large Language Models\nPredictive and Statistical Modeling\nData Mining and Big Data Analytics\nPython, SQL\nData Visualization\nCloud Analytics Platforms (AWS)\nData Pipeline Development and Data Engineering Collaboration\nWhat Sets You Apart\nYou don't just analyze data. You tell its story.\nYou have the ability to connect technical insights to business outcomes and communicate recommendations in ways that inspire action. You thrive in a collaborative environment, are energized by solving complex problems, and embrace emerging AI technologies as tools for innovation and growth.\nWhy HP?\nAt HP, you'll help shape the future through technology, data, and AI. You'll work alongside talented innovators who are solving meaningful challenges for customers around the world. We offer a culture built on inclusion, curiosity, and continuous learning, empowering you to grow your career while making a measurable impact.\nThe pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave (US benefits overview)\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\nJob -\nData & Information TechnologySchedule -\nFull timeShift -\nNo shift premium (United States of America)Travel -\nRelocation -\nEqual 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":6139,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Dental insurance","Equity","Health insurance","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laptops","Computer Peripherals","3D Printers & Additive Manufacturing","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-09-29T03:09:56Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":22,"reasons":["conf:8","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":161800,"is_top_pay":true},"html_url":"https://alion.io/job/hp-inc-data-scientist-3","json_url":"https://alion.io/job/hp-inc-data-scientist-3.json","meta":{"generated_at":"2026-10-01T18:44:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1017,"day_limit":5000,"remaining_today":3983,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}