{"id":2040584,"url":"https://alion.io/job/shrm-senior-product-data-scientist","title":"Senior Product Data Scientist","company":{"id":15815,"name":"SHRM","domain":"shrm.org","url":"https://alion.io/company/shrm","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alexandria, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Python","optional":false},{"name":"SPSS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-07T04:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T03:59:02Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Summary\n\nThe Senior Product Data Scientist is a senior individual contributor responsible for leading the exploration and evidence generation that informs the development and validation of new products and solutions. This role owns product discovery from early-stage concept exploration through pre-MVP validation, generating evidence to assess customer needs, demand and solution fit, adoption potential, pricing, and willingness to pay.\n\nWorking with a high degree of independence, the Senior Product Data Scientist partners closely with Product Managers, business leaders, and cross-functional stakeholders to translate complex business and product questions into rigorous study designs and actionable insights. The role serves as a subject matter expert in product, customer, and pricing analysis and is responsible for maintaining analytical quality, methodological rigor, and appropriate scope throughout the product validation lifecycle.\n\nThe Senior Product Data Scientist operates in an agile environment that leverages internal capabilities, external partners, and artificial intelligence tools to accelerate insight delivery while maintaining appropriate standards for accuracy, quality, and responsible use.\n\nResponsibilities\nProduct Discovery & Analytics\nLead product discovery and validation from early-stage concept exploration through pre-MVP validation, assessing customer needs, demand, solution fit, adoption potential, pricing, and willingness to pay.\nTranslate complex product and business questions into clear objectives, hypotheses, study designs, and research plans using established product evaluation frameworks.\nDesign and execute data science and product analytics initiatives that translate behavioral, transactional, customer, and market data into scalable insights, predictive models, and decision-support products.\nApply advanced statistical, machine learning, experimentation, and optimization methodologies—including regression, classification, clustering and segmentation, predictive modeling, causal inference, A/B and multivariate testing, conjoint analysis, MaxDiff, pricing optimization, and other techniques to inform product development, personalization, forecasting, and business decisions.\nAnalyze and synthesize quantitative and qualitative findings into objective, evidence-based insights and recommendations, identifying key opportunities, risks, limitations, and implications for product and business decisions.\nEnsure study design, methodology, data quality, and documentation meet appropriate standards for accuracy, consistency, and methodological rigor.\nInsight Leadership & Partnership\nServe as a subject matter expert and trusted advisor on product, customer, pricing, and validation methodologies.\nPartner with Product Managers, business leaders, and cross-functional stakeholders to define business questions, establish objectives, and align on appropriate approaches and scope.\nExercise independent judgment to balance business priorities and timelines while maintaining analytical quality and provide objective recommendations, including when findings challenge existing assumptions.\nCommunicate complex methodologies and findings clearly to technical and non-technical audiences, including senior leaders, and provide methodological guidance to colleagues.\nAI, Vendors & Innovation\nLeverage internal capabilities, external partners, AI tools, and emerging technologies to improve the efficiency and scale of product discovery while maintaining appropriate quality, professional judgment, and human oversight.\nManage and validate vendor- and AI-supported work and remain current on emerging analytical methodologies, technologies, and industry best practices.\n\nEducation & Experience Requirements\nEducation\nBachelor’s degree in Data Science, Marketing, Business Administration, Economics, Statistics, Data Analytics, Consumer sychology, Behavioral Science, Sociology, or a related field, or relevant equivalent experience in lieu of degree.\n\nExperience\nSix (6) or more years of progressively responsible experience in product discovery, pricing analysis, customer insights, or a related analytical discipline.\nDemonstrated experience conducting studies with B2B customers and decision-makers; experience within HR, HR technology, B2B SaaS, or related industries preferred.\nDemonstrated experience designing and executing complex qualitative and quantitative studies from initial question through analysis and recommendations.\nExperience conducting pricing analysis, concept testing, survey and sampling design, segmentation, and other advanced methodologies.\nExperience partnering with and influencing senior leaders and cross-functional stakeholders on complex or high-impact business decisions.\nExperience managing external vendors or partners preferred.\nExperience incorporating artificial intelligence or emerging technologies into workflows preferred.\nExperience with Sawtooth or comparable conjoint and MaxDiff software preferred.\n\nCertifications - NA\n\nKnowledge, Skills & Abilities\nAdvanced knowledge of product, customer, pricing methodologies, and best practices.\nAdvanced knowledge of data science, advanced analytics, data-product development, and statistical modeling methodologies and best practices.\nStrong knowledge of analytical methodologies, including predictive modeling, regression, classification, clustering, segmentation, forecasting, causal inference, experimentation, optimization, and machine learning techniques.\nAdvanced knowledge of data collection, data preparation, measurement, experimental design, data quality, model validation, and analytical standards.\nStrong quantitative analytical capabilities, including the ability to integrate and analyze complex datasets, identify patterns and relationships, develop and interpret statistical and predictive models, and translate findings into actionable business and product solutions.\nExperience developing analytical models, tools, and data products that enable decision-making, improve organizational performance, and create scalable business value.\nProficiency with statistical programming, querying, and analytical tools such as Python, R, SQL, SPSS, or comparable technologies.\nProficiency with Qualtrics or a comparable survey platform.\nProficiency with at least one statistical analysis tool or programming language, such as SPSS, R, or Python.\nAdvanced proficiency with Microsoft Excel and the ability to analyze and interpret complex datasets.\nStrong critical-thinking and problem-solving skills with the ability to distinguish meaningful findings from unsupported conclusions or assumptions.\nAbility to translate complex findings and data into concise, actionable recommendations for senior leaders and other stakeholders.\nStrong consultation, facilitation, and stakeholder-management skills, including the ability to navigate competing priorities and build alignment around study objectives.\nAbility to exercise sound independent judgment and appropriately challenge assumptions while maintaining productive working relationships.\nStrong written and verbal communication skills with the ability to present complex findings clearly to diverse audiences.\nAbility to manage multiple complex initiatives, priorities, and deadlines with a high degree of independence.\nAbility to effectively leverage artificial intelligence tools and technologies to streamline workflows, enhance productivity, and improve overall work quality while applying appropriate validation, quality-control, and responsible-use practices.\n\nPhysical Requirements\nThis position operates in a typical office environment (which includes a home office setting) and requires the ability to perform essential job functions with or without reasonable accommodation. Physical requirements may include:\nProlonged periods of sitting at a desk and working on a computer.\nFrequent use of hands and fingers for typing, handling documents, and using office equipment.\nOccasional standing, walking, bending, and reaching.\nAbility to lift and carry up to 30 pounds as needed.\nClear verbal and written communication skills for effective interaction with colleagues and stakeholders.\n\nWork Environment\nHybrid Schedule (3 Days In-Office/2 Days Remote)\nThis position follows a hybrid work schedule, with Tuesday through Thursday in office and Monday and Friday remote. Employees must be available during standard business hours, with core hours beginning between 8:00–9:00 a.m. and concluding between 5:00–6:00 p.m. local time.\n\nTravel: Occasional 0 – 10%\n#LI\nThe hiring range for this position is $125,000 to $150,000 per year. This range is an estimate, and the actual salary may vary based on the candidate's experience, skills, and qualifications. SHRM offers a competitive and comprehensive total rewards package. The benefits for this position include professional growth and development, health, dental, vision, well-being, health savings, flexible spending, retirement, open leave, and annual discretionary bonus and incentives.","description_format":"text","description_chars":9031,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Home office","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Professional Services","Corporate Trainings","Human Resources"],"lifecycle":[{"event":"open","at":"2026-10-07T17:45:36Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":38,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/shrm-senior-product-data-scientist","json_url":"https://alion.io/job/shrm-senior-product-data-scientist.json","meta":{"generated_at":"2026-10-13T06:04:51Z","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":9490,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":15815},"rest":"https://alion.io/mcp/rest/get_company?id=15815"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fshrm-senior-product-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%2Fshrm-senior-product-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%2Fshrm-senior-product-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/shrm-senior-product-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fshrm-senior-product-data-scientist"}]}