{"id":3345596,"url":"https://alion.io/job/centene-corporation-data-scientist-ii-2","title":"Data Scientist II","company":{"id":647,"name":"Centene Corporation","domain":"centene.com","url":"https://alion.io/company/centene-corporation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":14,"ghost_share":0,"stale_share":0,"repost_share":0.071,"time_to_fill_p50_days":15,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":87700,"max":157800,"currency":"USD","period":"year","gross":null,"usd_annual":157800},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"SAS","optional":false},{"name":"Databricks","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"Teradata","optional":true}],"status":"closed","first_seen_at":"2026-10-27T17:07:17Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T19:50:40Z","board_verified":false,"closed_at":"2026-10-28T19:50:40Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Position Purpose: Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes. Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs.\nDesign, develop, and deploy predictive models and machine learning solutions using structured and unstructured data.\nPartner with Analytics Engineers to build scalable data pipelines, machine learning workflows, and production-ready solutions.\nProvide technical oversight for model development, validation, monitoring, and governance.\nDesign and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.\nConduct exploratory data analysis from complex data sources and build key data sets to support Centene’s mission.\nEvaluate and design experiments to monitor key metrics and identify improvement opportunities.\nDevelop mathematical and statistical models to distinguish relevant content or events and recognize patterns.\nParticipate in presentations and communicate results of analysis and findings.\nParticipate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.\nValidate and measure the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data.\nManage multiple projects as assigned.\nAssist with training Data Analysts.\nKey Details: Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT\nHighly Preferred Skills:\nProficiency in Python, SQL, and modern machine learning frameworks.\nHands-on experience with Databricks and Snowflake for data preparation, model development, and deployment.\nFamiliarity with MLOps practices, model monitoring, and cloud-based analytics environments.\nExperience providing technical direction to Data Scientists and Analytics Engineers.\nHealthcare, payer, or population health analytics experience.\nKnowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor’s degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Teradata and Snowflake\nBy applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified\nPay Range: $87,700.00 - $157,800.00 per yearAt Centene, we connect people to the care they need to live healthier lives - and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.\nCentene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.\nCentene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. 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