Data Scientist

• Build and test machine learning models to support the platform.
• Maintain and contribute to existing Data Science codebases.
• Work with the software engineering team to deploy models to the platform that provide ongoing forecasts, optimizations, recommendations, and insights.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Identify and investigate data issues.
• Review diagnostic and performance reports to locate and correct problems and optimize algorithms.
• Work collaboratively with peers by actively participating in research reviews and discussions.
• Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the platform.

• Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Data Science, or a relevant field. Master's degree preferred.
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modeling, time series modeling, deep learning, generative AI, causal inference, experimentation.
• 1+ years of experience with a scripting language (Python preferred).
• Knowledge of statistical analysis packages (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch).
• Proficiency with relational database concepts, SQL, and a working knowledge of ETL processes.
• Experience with cloud technologies such as AWS, GCP, or Azure.
• Ability to communicate clearly with technical and non-technical audiences.
• Experience with version control systems (e.g., Git).
• Knowledge of reporting packages (such as Tableau, Microsoft Power BI, Business Objects) is preferred.

Last updated on Nov 15, 2023