{"id":3177455,"url":"https://alion.io/job/penske-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2601031,"name":"Penske","domain":"penske.jobs","url":"https://alion.io/company/penske-jobs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":108,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-24T06:02:35Z"}},"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":["Reading, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-14T15:38:20Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-24T13:10:34Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Position Summary:\nThe Senior Data Scientist is responsible for transforming complex data into business value through advanced analytics, artificial intelligence (AI), and machine learning (ML). This role leads the design, development, and deployment of scalable analytical solutions that solve high-impact business problems and enable data-driven decision-making. Responsibilities include evaluating new data sources, developing predictive models, statistical algorithms, AI/ML solutions, and proof of concepts, and translating research into production-ready capabilities. The Senior Data Scientist I builds data pipelines and analytical datasets for modeling and AI applications while ensuring scalable, reliable solutions. This role also provides technical leadership, provides guidance to junior data scientists, collaborates with cross-functional teams, and leads multiple medium- to large-scale projects from concept through implementation, delivering measurable business outcomes.\nMajor Responsibilities:\nData Preparation & Engineering\nIdentify source data and build data models to solve complex business problems.\nExtract, transform, and prepare structured and unstructured data.\nCollaborate with IT to build scalable data pipelines and analytical datasets for modeling and analytics.\nClean, validate, and monitor data quality.\nPerform feature engineering and exploratory data analysis.\nDevelop data quality metrics and visualizations to identify trends and opportunities.\nData Science, Machine Learning & Advanced Analytics\nDesign, develop, deploy, and monitor statistical and machine learning models.\nSelect appropriate statistical methods, modeling techniques, and algorithms.\nDesign and evaluate predictive analytics solutions.\nConduct statistical analyses and experiments to validate hypotheses and support business decisions.\nDevelop prototypes and proof of concepts.\nOperationalize analytical solutions for production use.\nSupport the AI/ML lifecycle by monitoring model performance and driving continuous improvement.\nMonitor model performance, address model drift, and improve business outcomes.\nApply advanced analytical techniques, including forecasting, classification, clustering, and natural language processing (NLP), and Sentiment Analysis.\nApply AI techniques, including generative AI, agentic AI, and large language models (LLMs), where appropriate to enhance analytical solutions.\nTechnical Leadership & Solution Delivery\nLead multiple medium- to large-scale data science initiatives from concept through implementation.\nTranslate business challenges into analytical solutions.\nDefine technical approaches and project methodologies.\nEstablish best practices for data science development, documentation, and model governance.\nPartner with Enterprise Engineering, Advanced Analytics, HRIT, and other cross-functional teams to deliver enterprise solutions.\nMentor and provide technical guidance to junior data scientists.\nEvaluate emerging technologies and recommend improvements to analytical solutions and data science practices.\nBusiness Partnership & Communication\nPartner with business leaders and subject matter experts to identify data-driven opportunities.\nCommunicate analytical methods, insights, and recommendations to technical and non-technical audiences.\nPresent findings through effective data storytelling and visualization.\nMeasure and communicate the business impact of analytical solutions using appropriate performance metrics.\nCreate clear technical documentation and project deliverables.\nFacilitate discovery sessions and support solution design.\nInnovation & Continuous Learning\nStay current with advances in data science, machine learning, AI, and cloud technologies.\nBuild expertise in business domains and enterprise data assets.\nPromote responsible AI through fairness, transparency, and explainability.\nShare knowledge and best practices across the data science community.\nIdentify opportunities to improve analytical capabilities and business outcomes.\nOther projects and tasks as assigned.\nQualifications:\nBachelor's degree required, preferably in Engineering, Data Science, Computer Science, Statistics, Mathematics, or related field.\nMinimum 6 years of experience designing and building data science, machine learning, or AI applications using structured or unstructured datasets is required.\nExperience using programming and statistical tools (e.g., Python, R, SQL, Dataiku, AWS, Oracle or similar) to manipulate data and generate insights from large datasets is required.\nDemonstrated experience with multiple machine learning techniques, such as logistic regression, decision trees, random forests, clustering, and other predictive modeling methods is required.\nExperience working with cloud platforms and data environments, such as AWS and Oracle, is preferred.\nExperience working with large-scale data processing, data engineering, and cloud-based analytics is preferred.\nExperience applying AI techniques, including generative AI, large language models (LLMs), natural language processing, or other AI technologies, is preferred.\nDemonstrated ability to evaluate AI and machine learning solutions from a systems perspective and apply systems thinking.\nAbility to effectively prioritize and manage multiple projects simultaneously.\nRegular, predictable, and full attendance is an essential function of the job.\nWillingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, and submit to a background investigation (including past employment, education, and criminal history) and drug screening are required.\nPhysical Requirements:\nThe physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nThe associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines.\nWhile performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.\nSpecific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.\nPenske is an Equal Opportunity Employer","description_format":"text","description_chars":6629,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Military","Transportation & Logistics","Military Logistics","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-10-23T20:19:47Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.382,"p_room":0.35,"age_days":39,"expected_fill_days":16,"reasons":["conf:0","stale_co","win:tail","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/penske-senior-data-scientist","json_url":"https://alion.io/job/penske-senior-data-scientist.json","meta":{"generated_at":"2026-10-24T13:24:43Z","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":19265,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":2601031},"rest":"https://alion.io/mcp/rest/get_company?id=2601031"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpenske-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%2Fpenske-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%2Fpenske-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/penske-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpenske-senior-data-scientist"}]}