Data Scientist

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

Section

Details

Job Title

Data Scientist

Job Type

Full time

Client Location

Detroit, Michigan

Work Arrangement

On site

Duration

Long Term Project

Pay Rate / Salary

$120K-$150K/A + Benefits

Must Have Technical/Functional Skills

• Good understanding of machine learning including with extensive hands-on experience in model building (gradient boosting (XGBoost/LightGBM), GLMs, time series, NLP etc.
• Knowledge of data management and visualization techniques
• Ability to do data analysis using Python
• Expertise in statistical analysis, feature engineering, A/B testing techniques and predictive modeling
• Good knowledge of Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor
• Experience with SQL
• Excellent communication skills and ability to work with partners: translating business problems into ML framing
• Good understanding of GenAI

Roles & Responsibilities

• Understand domain and data analytics requirements
• Perform data preprocessing that involves data transformation as well as data cleaning.
• Conduct data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Increase the performance and accuracy of machine learning algorithms through fine-tuning and further
• Visualize data and create reports
• Experiment with new models and techniques
• Conduct EDA and Explainability
• Align data projects with organizational goals