Data science Sr. Analyst
Job in
Detroit, Wayne County, Michigan, 48228, USA
Listed on 2026-06-26
Listing for:
G-TECH Services LLC
Full Time
position Listed on 2026-06-26
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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 Our Client and its subsidiaries
3):
- 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
Skills and 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
Certifications:
- Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required
GTech is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.
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