{"id":1333530,"url":"https://alion.io/job/ul-senior-data-scientist-field-business-functions","title":"Senior Data Scientist - Field Business Functions","company":{"id":1754684,"name":"UL Solutions","domain":"ul.com","url":"https://alion.io/company/ul-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":86,"open_postings":59,"ghost_share":0,"stale_share":0.559,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Northbrook, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Azure","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-09-18T19:49:30Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-31T01:46:27Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"description":"We are seeking an experienced Senior Data Scientist who excels at connecting business needs with data-driven solutions. The ideal candidate has a proven record of working directly with business leaders, leading stakeholder discussions, structuring ambiguous problems, and translating analytical findings into clear recommendations and measurable outcomes. This position requires strong data science and analytics expertise, but it is specifically designed for someone whose strengths extend beyond technical delivery to include business acumen, stakeholder influence, executive communication, and solution adoption. Candidates should be comfortable challenging assumptions, guiding decisions, and collaborating with data engineering and technology teams without being primarily focused on backend development.\n Business Partnership and Problem Definition\nBuild trusted relationships with business leaders, functional teams, and subject matter experts to understand priorities, operating context, constraints, and decision needs.\n\nLead discovery sessions to frame ambiguous business challenges, identify root causes, define hypotheses, and determine where analytics or data science can create meaningful value.\n\nTranslate business needs into clear problem statements, success measures, business requirements, user stories, and analytical plans.\n\nChallenge requests when the proposed solution does not address the underlying business problem and recommend a more effective approach.\n\nAlign stakeholders on scope, priorities, assumptions, dependencies, risks, and expected outcomes before development begins.\n\nAnalytics and Data Science Delivery\n· Own end-to-end analytics and data science initiatives from discovery and data assessment through modeling, validation, implementation, adoption, and outcome measurement.\n\n· Analyze large and complex datasets to identify patterns, drivers, anomalies, opportunities, and actionable insights.\n\n· Design, develop, and evaluate statistical, predictive, and machine learning solutions using methods appropriate to the business question.\n\n· Define evaluation criteria that include analytical performance, interpretability, operational feasibility, business impact, and risk.\n\n· Perform data profiling, cleansing, reconciliation, and validation to ensure analytical outputs are accurate, explainable, and fit for purpose.\n\n· Develop decision-support tools, analyses, dashboards, and prototypes using SQL, Python, R, Power BI, Excel, or related tools.\n\nInsight Communication and Influence\nSynthesize complex analysis into clear business narratives, options, recommendations, and implications for executive and non-technical audiences.\n\nCreate effective visualizations and presentations that focus on decisions, business impact, tradeoffs, and recommended actions rather than technical detail alone.\n\nFacilitate stakeholder reviews, resolve conflicting perspectives, and influence decisions using evidence and sound business judgment.\n\nCommunicate limitations, assumptions, uncertainty, and risks transparently so stakeholders can make informed decisions.\n\nPartner with users to validate outputs, incorporate feedback, drive adoption, and confirm that delivered solutions address the intended business need.\n\nDelivery Leadership and Cross-Functional Collaboration\nManage analytical backlogs, priorities, user stories, acceptance criteria, and delivery progress in Azure DevOps within an Agile environment.\n\nCoordinate with data engineering, application, product, and platform teams on data availability, solution design, implementation, and production readiness.\n\nProvide analytical leadership without assuming primary ownership for backend platform engineering, pipelines, or infrastructure.\n\nMentor Data Scientists and Analysts in business problem framing, stakeholder engagement, analytical rigor, documentation, and insight communication.\n\nEstablish and promote best practices for reproducibility, model validation, documentation, governance, and responsible use of data and analytics.\n\nIdentify opportunities to improve processes, reporting, decision workflows, and the organization’s broader analytics maturity.\n\n Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Analytics, Economics, Engineering, or a related quantitative field.\n\n7 to 10+ years of experience in data science, advanced analytics, decision science, or a closely related role.\n\nProven experience partnering directly with business leaders and senior stakeholders to solve complex business problems and influence decisions.\n\nDemonstrated ability to lead discovery, gather and document requirements, define measurable outcomes, and translate ambiguous needs into analytical solutions.\n\nStrong business acumen and the ability to connect analytical work to operational, customer, financial, or strategic outcomes.\n\nAdvanced proficiency in SQL and Python or R for data preparation, exploratory analysis, statistical modeling, and machine learning.\n\nStrong foundation in statistical methods, experimentation, predictive modeling, model evaluation, and analytical interpretation.\n\nAdvanced experience with Power BI, Tableau, or similar tools, including the ability to design clear, decision-oriented visualizations.\n\nExcellent written, verbal, presentation, facilitation, listening, influencing, and stakeholder management skills.\n\nExperience delivering work in Agile environments and using Azure DevOps or a comparable work management platform.\n\nAbility to manage multiple priorities, communicate delivery risks, and maintain quality in a cross-functional enterprise environment.\n\nPreferred Qualifications\nMaster's degree in Data Science, Analytics, Statistics, Business Analytics, Economics, or a related field.\n\nExperience developing business cases, defining KPIs, measuring benefits, or evaluating adoption and realized value.\n\nExperience with causal inference, forecasting, optimization, NLP, deep learning, or other advanced analytical techniques.\n\nExperience working with Salesforce data and reporting.\n\nExperience in business services, manufacturing, field operations, or another complex enterprise environment.\n\nFamiliarity with cloud data platforms, data lakes, and modern enterprise analytics ecosystems.\n\nExperience mentoring analytical professionals and raising standards for stakeholder-facing delivery.\n\nCore Competencies\nBusiness Problem Solving - Frames the right problem and connects analytical work to business decisions and outcomes.\n\nStakeholder Leadership - Builds trust, manages expectations, resolves ambiguity, and influences across functions and levels.\n\nAnalytical Judgment - Selects fit-for-purpose methods and balances rigor, interpretability, speed, and practicality.\n\nExecutive Communication - Turns complex findings into concise narratives, recommendations, and clear choices.\n\nEnd-to-End Ownership - Maintains accountability from discovery through adoption and outcome measurement.\n\nCross-Functional Collaboration - Works effectively with business, data engineering, technology, and delivery teams.\n\nMentorship and Standards - Develops others and promotes quality, documentation, governance, and continuous improvement.\n\nStrategic Thinking - Identifies opportunities and helps shape a longer-term analytics roadmap aligned with business priorities.\n\nWhat Success Looks Like\nBusiness stakeholders view the individual as a trusted analytical partner, not only a technical resource.\n\nProjects begin with clearly defined business problems, decision owners, success measures, and expected value.\n\nAnalytical recommendations are understandable, actionable, and used in business decision-making.\n\nSolutions achieve stakeholder adoption and demonstrate measurable operational or strategic impact.\n\nDelivery is transparent, risks are raised early, and analytical outputs meet agreed quality and governance standards.\n\nJunior team members improve their ability to engage stakeholders, structure problems, and communicate insights.\n\nWhat you’ll experience working for ULS\nUL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.\nThat’s where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.\nThis is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.\nEveryone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.\nEmpowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits.\nJoin UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com\nTotal Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $100,000 to $130,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 10% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday and personal days (totaling 12 days) and sick time off (72 hours).\nApplications accepted until 4/1/27","description_format":"text","description_chars":10482,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Energy & Utilities","Professional Services","Testing, Inspection & Certification"],"lifecycle":[{"event":"open","at":"2026-09-27T13:31:16Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.575,"p_room":0.6,"age_days":42,"expected_fill_days":46,"reasons":["conf:4","stale_co","velocity","win:late","crowd:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":false},"html_url":"https://alion.io/job/ul-senior-data-scientist-field-business-functions","json_url":"https://alion.io/job/ul-senior-data-scientist-field-business-functions.json","meta":{"generated_at":"2026-10-31T08:34:29Z","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":12800,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":1754684},"rest":"https://alion.io/mcp/rest/get_company?id=1754684"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ful-senior-data-scientist-field-business-functions"},{"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%2Ful-senior-data-scientist-field-business-functions"},{"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%2Ful-senior-data-scientist-field-business-functions"},{"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/ul-senior-data-scientist-field-business-functions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ful-senior-data-scientist-field-business-functions"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1333530}},{"tool":"search_jobs","arguments":{"company":"ul.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1333530},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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