> Markdown version of [/jobs/ext/220735-data-scientist-ii](https://www.wearedevelopers.com/jobs/ext/220735-data-scientist-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - **Company:** MEDICA - **Location:** Minnetonka, MN, United States - **Experience:** Experienced - **Salary:** $72,100.0 - $123,600.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Relational Databases, Database Queries, Python (Programming Language), Machine Learning, Natural Language Processing, SAS (Software), Unstructured Data, Snowflake, Deep Learning, Information Technology, Software Version Control, Programming Languages - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ef3757f7ae2cf11a ## About the Role The successful candidate will demonstrate the ability to lead and deliver complex healthcare analytics projects, apply sound statistical and machine learning techniques, and translate analytical findings into actionable insights. They will bring strong problem-solving skills, intellectual curiosity, and the ability to collaborate effectively across technical and business teams., * Bachelor's degree or equivalent experience in Data Science, Statistics, Computer Science, or a related field. * 3+ years of professional experience beyond degree in advanced analytics, statistics, or data science. * Experience applying predictive modeling or statistical analysis to real-world business problems, preferably in a healthcare setting. * Proficiency in at least one programming language commonly used for data science (e.g., Python, R, or SAS). * Strong SQL skills and experience working with relational databases., * Master's degree in a quantitative discipline. * Experience working with healthcare data, including claims, clinical, or operational datasets. * Experience with advanced modeling approaches such as ensemble methods, deep learning, or natural language processing. * Familiarity with source control and collaborative development workflows. * Experience working in cloud-based analytics environments and contributing to scalable data science pipelines. * Ability to communicate complex analytical concepts clearly to non-technical audiences. This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week. ## Description * Lead the development and maintenance of predictive models for medical expense and utilization forecasting to support population health strategies, financial planning, and enterprise decision-making. * Design and implement analytical solutions to identify potential fraud, waste, and abuse by detecting outliers, anomalous patterns, and emerging risk signals across claims and related data sources. * Partner closely with the Special Investigations Unit (SIU) and other business stakeholders to investigate model findings, refine detection logic, and support case development through data-driven insights. * Apply natural language processing and large language model techniques to unstructured data, such as call center transcripts, to uncover trends, risks, and opportunities for improved member and operational outcomes. * Research, evaluate, and apply appropriate statistical and machine learning modeling techniques such as regression, classification, anomaly detection, decision trees, and ensemble methods to improve model performance, interpretability, and business relevance. * Collaborate with actuarial, finance, clinical, and enterprise analytics teams to embed predictive outputs into planning, monitoring, and decision-making workflows. * Contribute to the design and evolution of governed, scalable data science pipelines and model deployment processes in partnership with data engineering and IT teams. * Support analytics infrastructure and tooling (e.g., Snowflake, Azure) to ensure models are reproducible, secure, and aligned with enterprise data governance standards. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)