Data Scientist - US Remote

• 1+ year of experience in data science or data analytics
• Proficiency in common data science Python libraries for data transformation, regression, classification, and clustering
• Experience in data prep and feature engineering including cleaning, normalizing, transforming, and selecting relevant features from raw data
• Proficient SQL skills: joins, subqueries, window functions, common table expressions (CTEs), aggregations, complex string manipulations, stored procedures and functions
• Experience with data visualization tools and techniques or dashboarding products
• Excellent problem-solving and creative thinking skills with ability to drive complex data analysis and development forward independently
• Strong communication skills with the ability to present data and articulate complex technical concepts clearly and concisely
• Bachelor's degree in data science, statistics, computer science, or a related field.

We’re especially interested in you if you have:

• Experience with PySpark or SnowPark for Python, SQL user-defined functions and table functions (UDFs & UDTFs)
• Familiar with version control like GitHub or Gitlab and production deployment pipelines
• Experience working with large-scale datasets directly within cloud data warehouses such as Snowflake, DataBricks, or Redshift
• ML performance optimization experience: efficient computation, parallel processing, hyperparameter turning, model pruning, and quantization