Insight Enterprise is seeking a skilled and pragmatic Data Scientist to join their Agent Builder Factory, a suite of agile pods dedicated to driving AI transformation across their lines of business, by leveraging machine learning to solve real-world business problems.
Requirements
- Python: Expert proficiency with core data science libraries such as Pandas for data manipulation and scikit-learn for machine learning models.
- Data & Analytics: Strong skills in SQL and PySpark for data exploration and feature engineering.
- MLOps: Direct, hands-on experience with the Databricks platform, specifically Databricks Feature Store, Databricks Jobs & Workflows, and MLflow.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to translate ambiguous business problems into well-defined data science solutions.
- Communication: Excellent verbal and written communication skills with the ability to present complex technical findings to diverse audiences.
- Experience: Proven experience as a Data Scientist with a portfolio of completed projects.
- Education: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
Responsibilities
- Develop and tune a range of machine learning models, including regression, classification, and time-series forecasting.
- Apply expertise to solve critical business problems, such as predicting inventory needs and scoring the likelihood of an opportunity closing.
- Perform in-depth exploratory data analysis using PySpark and SQL to uncover key insights and understand complex business data.
- Create powerful, predictive features from diverse raw data sources to enhance model accuracy and performance.
- Validate model performance using robust statistical methods, ensuring accuracy and reliability.
- Champion best practices in MLOps, with hands-on experience using MLflow for the end-to-end model lifecycle.
- Design and build models for automated retraining and deployment using Databricks Jobs & Workflows.
Other
- Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
- Excellent verbal and written communication skills with the ability to present complex technical findings to diverse audiences.
- Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
- Access to 11 thriving and diverse Teammate Resource Groups
- Must be eligible to work in the US
