Data Scientist II
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist II developing predictive models and AI for CareSource’s healthcare operations. Analyzing large datasets and operationalizing machine-learning pipelines.
Responsibilities:
- Design and validate predictive models, machine learning models, and artificial intelligence solutions
- Create, maintain, and communicate an analytical plan for each project
- Mine and analyze large structured and unstructured datasets
- Develop algorithms to predict risk, understand drivers, detect outliers, and support business processes
- Develop visualizations demonstrating algorithm efficacy
- Provide statistical validation and analysis of outcomes associated with clinical programs and interventions
- Collaborate with other teams to integrate solutions with existing systems
- Communicate results and ideas to key stakeholders
- Prepare code for operationalization of end-to-end model pipelines and business deliverables
- Perform other job duties as requested
Requirements:
- Bachelor’s Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field or equivalent years of relevant work experience is required
- Minimum of three (3) years of experience in data analysis and/or analytic programming required
- Proficient in SQL and at least one of Python or R
- Basic statistical analyses and techniques, including A/B testing, general significance testing, and sampling methodologies
- Working knowledge of predictive modeling and machine learning algorithms, including generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction, and natural language processing
- Proficient in feature engineering techniques and exploratory data analysis
- Familiarity with optimization techniques and artificial intelligence methods
- Proficient with MS Office (Excel, PowerPoint, Word, Access)
- Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
- Demonstrated critical thinking, verbal communication, presentation, and written communication skills
- Ability to work independently and within a cross-functional team environment
- Experience with cloud services and modern data stack preferred
- Healthcare experience preferred
- Beginner-level knowledge of developing reports or dashboards in Power BI or other business intelligence applications preferred
- No licensure or certification required
Benefits:
- Bonus tied to company and individual performance may be available
- Substantial and comprehensive total rewards package
- Employee total well-being support
Similar Jobs
Senior Data Scientist – Marketing
Senior Data Science Analyst building cross-channel brand measurement for Empower’s financial services business. Integrating marketing signals into dashboards, analyses, and actionable recommendations.
Data Manager
Data Manager managing clinical-trial databases, eCRFs, cleaning, queries, and coding. Supporting Eurofins bioskin’s dermatology-focused contract research services.
Senior AI Data Scientist – Agentic Process Development
Senior AI Data Scientist building trustworthy agentic systems to automate team.blue’s multi-country HR processes. Developing production integrations, safeguards, evaluations, and cost-efficient LLM workflows.
Data Scientist, FP&A Solutions
Data Scientist automating FP&A forecasting, predictive modeling, and financial analytics at Autodesk, whose software helps innovators design and make buildings, cars, factories, and films.
Customer Data Scientist
Customer Data Scientist optimizing AML and fraud detection models for Hawk’s banking and payments customers. Translating model performance into compliant, measurable customer value.
Data Scientist III
Data Scientist III developing predictive models and AI for CareSource’s operational, clinical, financial, and marketing analytics. Operationalizing machine-learning pipelines and mentoring junior data scientists.
Data Scientist – AI, Splunk
Data Scientist supporting a U.S. Government client with AI, Splunk, and cloud analytics. Detecting enterprise issues, diagnosing API performance, and designing remediation strategies.
Senior Data Scientist, SageMaker, Bedrock
Senior Data Scientist delivering production ML and GenAI solutions on AWS for startup customers. Owning SageMaker, Bedrock, fine-tuning, and customer-facing architecture projects end-to-end.
Lead Analytics Consultant, Real World Data Insights
Lead healthcare data consultant shaping pre-sales real-world evidence solutions. Analyzing linked patient data and guiding clients through feasibility, data selection, and research design.
Lead Analytics Consultant, Real World Data Insights
Lead analytics consultant guiding HealthVerity clients in using privacy-protected healthcare data. Translating real-world data into research insights, training, and post-sale solutions.
Marketing Operations, Data Manager
Marketing operations manager building analytics, SEO, attribution, and ABM infrastructure. Advancing Cyclops’ stablecoin and crypto platform for payments companies.
Data Scientist
Senior Data Scientist applying machine learning, statistical modeling, and analytics to solve organizational problems. Supporting business decisions through predictive models and data-driven insights.
Data Scientist
Senior Data Scientist using machine learning, statistical modeling, and analytics to support business decisions. Building predictive solutions and dashboards for complex organizational problems.
Senior Healthcare Data Scientist – Medicare/Medicaid
Senior data scientist developing generative AI and predictive models for GDIT’s Medicare and Medicaid fraud detection programs. Analyzing claims and CMS data to improve program integrity.
Healthcare Data Scientist – Medicare/Medicaid
Data Scientist supporting GDIT’s Medicare/Medicaid fraud, waste, and abuse analytics. Building machine-learning, generative-AI, claims-data, and visualization solutions.
Lead Insurance Data Scientist – P&C
Data Scientist building analytics, dashboards, and applications for EPIC’s commercial property-and-casualty insurance business. Operationalizing insights on Azure Databricks with engineers and stakeholders.
Configuration and Data Manager
Configuration and data manager supporting SPA’s DoD cloud-native Platform as a Service capability. Governing system baselines, data artifacts, change control, and compliance across technical teams.
Senior Manager, Data Science
Senior Data Science Manager leading AI, machine learning, and analytics for Signature Aviation’s global private aviation network. Building data platforms and coaching a high-performing analytics team.
Senior Data Science Analyst
Analista de Ciência de Dados na Nestlé, maior empresa mundial de alimentos e bebidas. Desenvolvendo modelos de machine learning e produtos de dados para soluções de negócio.
Internship – Data Scientist
Data-Science-Praktikum/Masterarbeit bei Rewoso zur Entwicklung prädiktiver Modelle aus anonymisierten Patientendaten. Analyse, Validierung und Interpretation für digitale Gesundheits- und Versorgungsanwendungen.