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Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Big Dataunmatched
Business Caseunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Cross-Functionalunmatched
Data Modelingunmatched
Data Scienceunmatched
Deep Learningunmatched
Health Insuranceunmatched
Health Planunmatched
Healthcareunmatched
Machine Learningunmatched
Mathematicsunmatched
Mechanical Engineeringunmatched
Modeling Languagesunmatched
Natural Language Processing (NLP)unmatched
Operations Researchunmatched
Product Demonstrationunmatched
Python Programming/Scripting Languageunmatched
Rapid Prototypingunmatched
Software Developmentunmatched
Statistical Algorithmsunmatched
Statistical Modelingunmatched
Statisticsunmatched
Description
Our client, a Health Insurance company, is looking for a Data Scientist for their Detroit, MI/Hybrid location.
Responsibilities:
Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within client and its subsidiaries.
Requirements:
Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences.
Proficient in Python
Minimum 2 years of relevant professional experience
Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
Prior experience in the healthcare industry preferred.
Bachelor's degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.