Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Data Scientist

Job

ICONMA, LLC

Detroit, MI (In Person)

Full-Time

Posted 2 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/11/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Data Scientist#26-19906 $43.32-$46.48 per hour Detroit, MI Onsite Job 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. Master's in related field is preferred.