Senior Manager, Data Science

Posted 15 days agoViewed

💎 Seniority level: Manager, 6+ years

📍 Location: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C.

💸 Salary: 174000.0 - 228900.0 USD per year

🔍 Industry: Healthcare, Finance, Insurance

🏢 Company: Oscar Health👥 1001-5000💰 $140,000,000 Private over 4 years ago🫂 Last layoff about 5 years agoHealth Insurance InsurTech Insurance Health Care

⏳ Experience: 6+ years

🪄 Skills: PythonSQLData AnalysisMachine LearningData scienceRisk ManagementData modelingData management

Requirements:

6+ years of industry or other quantitative technical fields (which may include academia)
4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
1+ years of people management experience (for people manager roles)

Responsibilities:

Oversee all the models and systems for Oscar's clinical risk adjustment quantification and submissions processes.
Translates business goals into plans and tactics for the team
Works with more senior leaders to establish longer term strategies and roadmaps
Participates in team-wide technical and operations management responsibilities
Leads and manages a small team of data scientists and/or analysts
Interacts and collaborates closely with data and business management across functional areas
Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses
Compliance with all applicable laws and regulations
Other duties as assigned

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7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role.
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Deep understanding of statistical modeling, causal inference, and regression techniques.
Experience in feature development for MTA models and testing methodologies; experience with marketing data and consumer business KPIs.
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Strong communication skills to effectively collaborate with engineers, product teams, and stakeholders.

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Lead and mentor our lean data science team, fostering growth and technical excellence.
Own feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability.
Act as a hands-on contributor, developing statistical models and validating approaches for both testing and attribution.
Work cross-functionally with engineering and product teams to integrate data science solutions into Rockerbox’s platform.
Drive best practices in model validation, experiment design, and data pipeline efficiency.
Identify opportunities to leverage AI and machine learning for enhanced insights and automation.
Collaborate with leadership to define team growth, hiring needs, and strategic priorities.

LeadershipPythonSQLCloud ComputingMachine LearningData sciencePandasCommunication SkillsMentoringTeam managementData modeling

Posted 2 months ago

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