Data Engineer
Location: Dearborn, MI 48124
Work Schedule: Hybrid, 4 days onsite
Pay Rate: Up to $65.51/hour, depending on experience and chosen benefits
About the Role:
We are seeking a talented and driven Data Scientist to join our team. In this role, you will be instrumental in transforming real-world data into actionable insights and innovative solutions. You will work across the entire data science lifecycle—from understanding complex business challenges to deploying robust models that drive impact.
Key Responsibilities:
- Acquire, clean, and process messy, real-world data from various sources.
- Conduct rigorous Exploratory Data Analysis (EDA) to identify patterns and formulate hypotheses.
- Translate business questions into well-defined data science problems.
- Develop, train, and evaluate statistical and machine learning models for prediction, classification, clustering, and forecasting.
- Collaborate with engineering and product teams to deploy models into production environments.
- Communicate findings and model results to technical and non-technical stakeholders.
- Iterate on models based on performance feedback and evolving business needs.
- Stay current with advancements in data science, machine learning, and relevant technologies.
Required Skills & Experience:
- Proficiency in data manipulation and analysis tools (e.g., Pandas, SQL).
- Experience with EDA and model development (statistical modeling, machine learning).
- Ability to translate business challenges into data-driven solutions.
- Proficiency in Python, R, or similar data science programming languages.
- Familiarity with model deployment processes.
Preferred Skills:
- Experience with cloud platforms, especially Google Cloud Platform (GCP).
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Experience in the automotive industry is a plus.
Education:
- Required: Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
- Preferred: PhD in a quantitative discipline.