Data Scientist

Insight

3d•$150,000 - $169,500•Remote

About The Position

Insight Enterprise is seeking a skilled and pragmatic Data Scientist to join our Agent Builder Factory, a suite of agile pods dedicated to driving AI transformation across our lines of business. You will be a key player in the entire model lifecycle, from exploring raw business data to deploying production-ready AI agents. If you're passionate about leveraging machine learning to solve real-world business problems and thrive in an agile, fast-paced environment, this role is for you.

Requirements

Proven experience as a Data Scientist with a portfolio of completed projects.
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.
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 your 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 (e.g., sales history, client activity) to enhance model accuracy and performance.
Utilize the Databricks Feature Store to manage and share model features, ensuring consistency and reusability across projects.