Senior Data Scientist

Requirements

• Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field
• 1 year of experience in an analytics related field; OR 3 years of experience in an analytics related field
• Experience coding in Python or Java
• Experience with exploratory data analysis on large data sets using Pyspark and SparkSQL
• Experience designing and developing machine learning algorithms
• Experience evaluating and optimizing machine learning models
• Experience deploying and troubleshooting data pipelines on Airflow
• Experience analyzing A/B testing results using statistics and t-test
• Experience visualizing and reporting data with Excel, Ggplot, and Matplotlib
• Experience using Google Cloud or Azure for data storage and analysis
• Experience with best practice on data governance and sanity
• Experience processing time series data and performing forecasts
• Experience with large or small language models

Benefits

• Competitive pay
• Performance-based incentive awards
• Medical, vision and dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement leave
• Jury duty
• Voting leave
• Short-term and long-term disability
• Education assistance with 100% company paid college degrees
• Company discounts
• Military service pay
• Adoption expense reimbursement