Data Scientist — ML & Predictive Analytics (Onsite Detroit)

SFE; Detroit (MI); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Benefits

Job summary

SFE is seeking a Data Scientist for a long-term, on-site engagement in Detroit, Michigan. The role involves building predictive models, conducting data analysis, and collaborating with partners to translate business problems into ML solutions.

Responsibilities include data preprocessing, model experimentation, visualization, and ensuring data quality. Strong Python, ML, and SQL skills are essential, with exposure to GenAI concepts encouraged.

Qualifications

• Strong ML model building experience with gradient boosting, GLMs, or NLP.
• Proficient in Python data analysis and ML libraries.
• Experience with SQL and data visualization techniques.
• Ability to translate business problems into ML framing.
• Familiarity with GenAI concepts.

Responsibilities

• Understand domain and analytics requirements.
• Perform data preprocessing and cleaning.
• Conduct data mining and collection procedures.
• Ensure data quality and integrity.
• Build analytic systems and predictive models.
• Fine-tune models to improve performance.
• Visualize data and create reports.
• Experiment with new models and techniques.
• Align data projects with organizational goals.

Skills

Model building

Python

Data analysis

Statistical modeling

Feature engineering

A/B testing

Data visualization

SQL

Explainability

GenAI concepts

Tools

Pandas

Scikit-learn

MLflow

SQL tooling

Job description

SFE is seeking a Data Scientist for a long-term, on-site engagement in Detroit, Michigan. The role involves building predictive models, conducting data analysis, and collaborating with partners to translate business problems into ML solutions.

Responsibilities include data preprocessing, model experimentation, visualization, and ensuring data quality. Strong Python, ML, and SQL skills are essential, with exposure to GenAI concepts encouraged.