{"id":3487106,"url":"https://alion.io/job/relx-sr-statistical-modeler","title":"Sr Statistical Modeler","company":{"id":3770,"name":"RELX","domain":"relx.com","url":"https://alion.io/company/relx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":113,"ghost_share":0,"stale_share":0.646,"repost_share":0.009,"time_to_fill_p50_days":41,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":104900,"max":174700,"currency":"USD","period":"year","gross":null,"usd_annual":174700},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-29T22:03:07Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T02:45:33Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Business\nLexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/\nAbout the Role:\nThe Sr Statistical Modeler develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. This role independently executes complex analytical work, translating well defined problem statements into scalable machine learning solutions across the full modeling lifecycle.\nAbout the Team: This team is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems. The role collaborates closely with engineering, product, and platform teams and communicates analytical insights to both technical and non technical stakeholders.\nResponsibilities:\nApplies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex data from a variety of sources\nDevelops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks for structured or unstructured data\nRecognized expert within the function\nRequires specialized depth and/or breadth of expertise Interprets internal or external business issues and recommends best practices\nWorks independently, with guidance in only the most complex situations\nTrains/mentors junior staff\nServes as an expert of own discipline to clients\nInterprets internal/external business challenges and recommends best practices to improve products, processes or services\nRequirements:\nProven Data Science experience, Advanced academic experience-such as a Master’s degree in a related discipline-may substitute for part of the required experience\nSolid experience in applying machine learning and statistical techniques to real-world problems.\nHands-on experience developing, evaluating, and iterating on predictive and machine learning models.\nExperience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.\nExperience working with structured and unstructured data at scale.\nProficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch).\nExperience working with SQL and relational or cloud-based data platforms.\nHands-on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost-aware execution.\nExposure to modern AI frameworks and tools, including large language model (LLM)-based solutions and retrieval-augmented workflows.\nExperience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions.\nExperience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.\nAbility to independently execute complex analytical work within defined scope.\nClear and effective communicator, able to explain technical ideas in a way that’s easy for non-technical audiences to understand.\nLearn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000\n\nU.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.\n\nBase Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $123,816- $197,784.\n\nThis job is eligible for an annual incentive bonus.\n\nApplication deadline is 11/30/2026.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\nCriminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scamshere.\nPlease read our Candidate Privacy Policy.\nWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":5572,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Exhibitions","Legal Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-29T22:03:07Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 257","filings_12m":257,"filings_prev_12m":227,"green_card_filings_12m":0,"median_offered_wage_usd":127500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":41,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":174700,"is_top_pay":true},"html_url":"https://alion.io/job/relx-sr-statistical-modeler","json_url":"https://alion.io/job/relx-sr-statistical-modeler.json","meta":{"generated_at":"2026-11-04T06:32:45Z","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":10224,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":3770},"rest":"https://alion.io/mcp/rest/get_company?id=3770"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelx-sr-statistical-modeler"},{"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%2Frelx-sr-statistical-modeler"},{"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%2Frelx-sr-statistical-modeler"},{"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/relx-sr-statistical-modeler\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelx-sr-statistical-modeler"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3487106}},{"tool":"search_jobs","arguments":{"company":"relx.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3487106},"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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