Insight is seeking a Data Scientist to solve real-world business problems through machine learning, including predicting inventory needs and scoring the likelihood of an opportunity closing, as part of their AI Agent Builder Factory.
Requirements
- Proven experience as a Data Scientist with a portfolio of completed projects.
- Expert proficiency with Python and core data science libraries such as Pandas for data manipulation and scikit-learn for machine learning models.
- Strong skills in SQL and PySpark for data exploration and feature engineering.
- Direct, hands-on experience with the Databricks platform, specifically Databricks Feature Store, Databricks Jobs & Workflows, and MLflow.
- Strong analytical and problem-solving skills with the ability to translate ambiguous business problems into well-defined data science solutions.
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.
- Validate model performance using robust statistical methods, ensuring accuracy and reliability.
- 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.
- Ability to work in an agile, fast-paced environment.
