Remote Data Scientist

Summary

The Data Scientist will lead data infrastructure development, deliver analytics with predictive modeling, and communicate technical concepts to non-technical stakeholders. This role requires a degree in Computer Science or related field, 5+ years of experience in data science, proficiency in programming languages, and knowledge of data engineering and data warehousing concepts.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• At least 5 years of experience in data science, machine learning, and statistical modeling
• Proficient in programming languages such as Python, R, SQL, and SAS
• Experience with data visualization tools such as Tableau, MixPanel, Google Looker
• Strong understanding of statistical concepts and machine learning algorithms
• Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda
• Excellent communication and presentation skills to convey technical concepts to non-technical stakeholders
• Ability to work collaboratively in cross-functional teams and lead projects from ideation to implementation
• Experience mentoring junior data scientists and guiding best practices in modeling and analysis

Responsibilities

• Lead the effort to build, implement and support the data infrastructure
• Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling
• Analyze and confirm the integrity of source data to be evaluated
• Develop and maintain predictive models supporting both product & data initiatives
• Ensure data quality and integrity in modeling by working with data engineers and analysts
• Communicate complex technical concepts to non-technical stakeholders through visualizations and presentations
• Stay up-to-date with advancements in data science to improve modeling capabilities
• Collaborate with cross-functional teams to align data-driven solutions with business objectives

Preferred Qualifications

• Experience building ML Models for new Product Features & Fraud
• Experience with Open Source Data Visualization tools
• Experience with Databricks, Reverse ETL

Benefits

• Remote work for certain states
• Some travel may be required for in-person collaboration
• Compensation: $145,000 - $180,000/year + equity