Data Scientist

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. Requirements: Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).

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.
• Master's in related field is preferred.

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

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