{"id":4326703,"url":"https://alion.io/job/hewlett-packard-enterprise-data-scientist-4","title":"Data Scientist","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","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":163,"ghost_share":0.006,"stale_share":0.699,"repost_share":0.012,"time_to_fill_p50_days":36,"computed_at":"2026-11-14T05:58:10Z"}},"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":["Heredia, Costa Rica"],"countries":["CR"],"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":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T01:34:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data ScientistThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.Who We Are:\nHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.\nJob Description:\nJob Family Definition\nEmbeds analytics and data-driven decision making into business processes and operational workflows. Combines business acumen, statistical methods, machine learning techniques, and data visualization to solve complex business problems and generate actionable insights.\nDesigns, develops, and implements analytics solutions using structured and unstructured data. Builds dashboards, reports, predictive models, and statistical analyses that support operational excellence, customer experience improvements, strategic planning, and business decision-making.\nUses modern visualization tools such as Power BI to translate analytic findings into compelling business stories and recommendations for technical and non-technical stakeholders.\nIn a typical day as a Data Scientist, you would...\nParticipates in the analysis, validation, and interpretation of data sets, analytics solutions, and user requirements.\nCollects, cleans, transforms, and validates data from multiple sources to support reporting, analytics, and machine learning initiatives.\nDevelops interactive dashboards, reports, and visualizations using Power BI and other analytics tools to provide business insights and performance monitoring.\nPerforms exploratory data analysis, statistical analysis, segmentation studies, trend analysis, and hypothesis testing to identify improvement opportunities and business drivers.\nSupports the development, testing, and deployment of predictive and machine learning models for business applications including forecasting, classification, customer behavior analysis, and operational optimization.\nCollaborates with cross-functional stakeholders to understand business requirements and translate them into data-driven solutions and recommendations.\nParticipates in data engineering and automation activities including data preparation, ETL processes, and development of repeatable analytics workflows.\nSupports the research, identification, and delivery of innovative analytics and data science solutions to business challenges.\nCommunicates findings, recommendations, and insights to technical and business audiences through reports, dashboards, and presentations.\nWhat you need to bring:\nBachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Analytics, or a related quantitative discipline.\nExperience with analytics, reporting, business intelligence, statistical analysis, data visualization, or machine learning projects through academic, internship, or professional work.\nKnowledge and Skills\nBasic to intermediate SQL skills for data extraction, transformation, and analysis.\nExperience with Power BI or similar business intelligence and data visualization platforms.\nKnowledge of statistical analysis techniques including hypothesis testing, regression, forecasting, segmentation, and trend analysis.\nFamiliarity with Python, R, or equivalent analytics programming languages.\nUnderstanding of machine learning concepts including classification, clustering, predictive modeling, and model validation.\nFamiliarity with data preparation, ETL processes, and data quality management practices.\nUnderstanding of structured and unstructured data sources and data integration techniques.\nStrong analytical thinking, problem-solving, and critical reasoning skills.\nAbility to communicate technical concepts and analytical insights to business stakeholders.\nKnowledge of customer support, operations, service management, or business performance metrics is a plus.\nStrong written and verbal communication skills with the ability to work effectively in cross-functional teams.\nAccessibility\nHPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.\nUnconditional Inclusion\nWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\nJob:\nEngineeringJob Level:\nTCP_02HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category,and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. 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