{"id":1169735,"url":"https://alion.io/job/hewlett-packard-enterprise-senior-data-scientist","title":"Senior 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":76,"open_postings":114,"ghost_share":0,"stale_share":0.956,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":153500,"max":310500,"currency":"USD","period":"year","gross":null,"usd_annual":310500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-21T16:57:47Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"Senior Data ScientistThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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:\nSenior Data Scientist will be engaged in data science-related research and software application development and engineering duties related to our AI Datacenter technology and autonomous platform to provide an unprecedented visibility and operational efficiency and into the user experience. The Senior Data Scientist will collaborate with other engineers and to build the next generation of autonomous Datacenter networks leveraging big data and predictive models.\nThe Senior Data Scientist will leverage the data collected from the network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot. In addition, will use his/her knowledge of network communication, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, provide Root Cause Analysis (RCA) and classify them in real-time. The Senior Data Scientist will also be responsible to develop the software and algorithms to enhance the cloud intelligent for Marvis.\nJob Duties:\nDesign and implement machine learning solutions which require to process terabytes of streaming data to detect anomalies in DC networks of our customers, predict problems and future trends, provide Root Cause Analysis (60%)\nSolid statistics and math background, good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.\n\nExcellent Communication Skills to articulate observations and use cases with PM and network domain experts who are not experienced in AI/ML through data visualization tool.\n\nHave done time series data analysis, forecasting and correlation is preferrable.\n\nHave utilized latest AI/ML techniques, such as Neural Networks, Transformer, etc. for time series data or interested to explore these techniques for time series data.\n\nAnalyze feature requirements from product manager, collaborate with engineers and data scientists to design the solutions.\n\nRequire good understanding of datacenter networking topology and protocols.\n\nTroubleshoot production environment and customer reported issues (20%)\nRequire the knowledge of the multi-cloud production environment\n\nRequire the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink\n\nUtilize analytical and programming skills and open-source systems, such as Hadoop, Hive, Spark, Elasticsearch, Redis, etc. develop data processing pipeline required efficacy and latency (20%)\nRequire good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine\n\nRequire the experience to develop the reusable and highly scalable data processing component\n\nRequire good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines\n\nRequire good understanding of MCPs and Agentic frameworks.\n\nBasic Qualifications:\nBachelor's degree in Computer Science/ Engineering/Mathematics or equivalent experience\n\n5+ years of experience Search Indexing, Ranking, Information Retrieval and Querying.\n\nProficient in Python and Golang\n\nProficient in implementing NLP, Machine Learning models and algorithms into production at scale.\n\nPreferred Qualifications:\nPhD degree in Statistics, Operations Research, Computer Science or equivalent and 5+ years of relevant experience. Or Master´s Degree in these areas and at least 8 years of relevant experience.\n\nExperience with statistical data analysis, data mining, and querying.\n\nExperience in deploying and leading complete ML platforms in AWS/GCP/Azure.\n\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.\n#unitedstates#globalITJob:\nEngineeringJob Level:\nTCP_05\"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.- United States of America: Annual Salary USD 153,500 - 310,500 in California\nThe listed salary range reflects base salary. Variable incentives may also be offered.\"\nInformation about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html\nHPE 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. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.","description_format":"text","description_chars":8030,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Enterprise Storage Systems","Network Equipment","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-09-24T06:21:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 572 · green card filings: 204","filings_12m":572,"filings_prev_12m":525,"green_card_filings_12m":204,"median_offered_wage_usd":151443,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":27}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.441,"p_room":0.36,"age_days":64,"expected_fill_days":35,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":310500,"is_top_pay":true},"html_url":"https://alion.io/job/hewlett-packard-enterprise-senior-data-scientist","json_url":"https://alion.io/job/hewlett-packard-enterprise-senior-data-scientist.json","meta":{"generated_at":"2026-10-21T22:15:54Z","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":31656,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":5292},"rest":"https://alion.io/mcp/rest/get_company?id=5292"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhewlett-packard-enterprise-senior-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%2Fhewlett-packard-enterprise-senior-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%2Fhewlett-packard-enterprise-senior-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/hewlett-packard-enterprise-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhewlett-packard-enterprise-senior-data-scientist"}]}