Tech Stack

Description

In this role, you will apply statistical and machine learning models to large datasets to predict user and product performance. You'll partner with Sales and Data Science teams to answer critical business questions, design and implement data science solutions using Python and R, and analyze experiments to drive data-driven decisions.

Requirements

• Master's degree in Computer Science, Business Analytics, Statistics, or related field
• 3 years of experience as a Data Scientist or in related occupation
• 3 years building ETL data transformation pipelines in SQL
• 3 years working with product and business teams to answer questions with data
• 2 years of experience productionalizing machine learning models and software products

Responsibilities

• Apply statistical, time series forecasting, and machine learning models on large datasets to predict future performance
• Partner with Sales and Data Science teams to identify important questions and answer them with data
• Design, implement and launch data science solutions using Python and R at scale
• Create analyses generating insights for business teams
• Design, analyze, and interpret the results of experiments