{"id":1267990,"url":"https://alion.io/job/onemagnify-data-scientist","title":"Data Scientist","company":{"id":1868145,"name":"OneMagnify","domain":"onemagnify.com","url":"https://alion.io/company/onemagnify","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Detroit, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":604},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"SAS","optional":true}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-09-26T21:55:19Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"Data Scientist\nRole Summary\nOneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. This role is a fit for someone who wants to do serious technical work and see it matter in the real world.\nThe Impact You'll Have\nThe clients you'll support are making high-stakes decisions about customers, markets, and products. Your models, including forecasting demand, segmenting audiences, and optimizing spend, become the analytical backbone of how they operate. When your work is right, it drives measurable outcomes. When it's wrong, someone notices. That accountability is part of what makes this role interesting.\nYou'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That means writing code and documentation that others can reproduce, maintain, and extend. Shipping a model is the beginning, not the end. Cross-functional collaboration with engineering, strategy, and delivery teams is part of the daily rhythm, and your ability to translate between technical and business contexts will be used constantly.\nThe work spans industries and problem types (automotive, retail, financial services, and more) so you'll develop breadth alongside depth. You'll rarely work on the same type of problem twice in a row.\nWhat You'll Do\nBuild and validate analytical models\nDesign, deploy, and monitor models including forecasting, classification, regression, and segmentation\nConduct A/B testing and causal analyses with rigorous experimental design and clear documentation\nDevelop optimization solutions (linear, mixed-integer, multi-objective) and ensure reproducibility across the full model lifecycle\nOwn data integration and quality\nIntegrate data from multiple sources and develop data-quality reporting that surfaces issues before they become client problems\nConduct root-cause analysis on data anomalies and validate database changes prior to release\nUse Databricks for large-scale data processing and machine learning workflows\nTranslate requirements into technical solutions\nPartner with business and engineering teams to elicit requirements, define business rules, and turn them into technical specifications\nDocument solutions clearly enough that someone else can maintain and extend your work\nEnsure alignment between what clients ask for and what gets built\nCommunicate findings to varied audiences\nSynthesize and present analytical findings to internal and external stakeholders, including executive-level audiences, with the judgment to handle complex or sensitive inquiries with care\nBuild metrics and KPI reports that inform real business decisions, not just dashboards that get ignored\nPrepare visualizations in Tableau and Power BI that make complex outputs accessible\nSupport collaborative development\nUse Git/GitLab for version control, reproducibility, and collaborative code development\nCollaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow\nAdhere to data governance, privacy, and compliance standards across all work\nWhat You'll Need\nBA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related quantitative field - or equivalent practical experience\n2-5+ years of hands-on analytics including predictive modeling, A/B testing, and optimization\nAdvanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and data warehouses\nHands-on experience with Databricks for large-scale data processing and machine learning workflows\nProficiency with Tableau and/or Power BI for visualization and reporting\nExperience with Git/GitLab for version control and collaborative development\nStrong Excel and PowerPoint skills\nProven ability to present analyses to management and collaborate with both business and technical stakeholders\nExperience diagnosing and resolving data-quality issues across multiple platforms\nUnderstanding of data governance, privacy, and compliance standards\nFamiliarity with Master Data Management (MDM) concepts and how they apply to data quality and integration\nFuture-Ready Skills (Nice to Have)\nProficiency with SAS or R in an applied analytics environment\nFamiliarity with automotive or VIN data and complex industry-specific data structures\nExposure to AI-enabled analytics workflows or automation within a data science context\nExperience working in integrated marketing, consulting, or digital services environments where analytics supports client-facing delivery","description_format":"text","description_chars":4885,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Marketing","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T22:50:59Z"}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.612,"p_room":0.36,"age_days":67,"expected_fill_days":39,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/onemagnify-data-scientist","json_url":"https://alion.io/job/onemagnify-data-scientist.json","meta":{"generated_at":"2026-09-27T00:16:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":168,"day_limit":5000,"remaining_today":4832,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}