Lead Data Scientist Engineer
RemoteUnited States
Job Summary
Design, develop, and maintain Dealer and Enterprise quality dashboards and reports using analytics and visualization methods. Lead high-profile complex projects spanning multiple data sets and systems while performing data analysis and reporting on data quality. Provide technical leadership to a medium-sized team of data analysts and scientists, defining quality metrics and conducting root cause analysis for data quality problems. Use analytics methods to make recommendations to Designers, Product Owners, and Managers, working on multiple concurrent projects to solve complex analytics and quality issues. This role is primarily focused on driving Client Dealer and Enterprise data quality improvements and will be remote until the Client reopens.
Required Qualifications
- Bachelor's degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
- 7+ years of experience in data analytics/data science position
- 3+ years of experience with Python and SQL
- 1+ years of experience with designing & developing dashboards in Tableau, MS Power BI, Kibana or similar software
Desired Qualifications
- MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
- Proven experience with Snowflake
- Experience with AWS (SageMaker, Athena, S3, RDS, DynamoDB)
- Proficiency with gathering information systematically, visualizing data and developing reproducible reports
- Thorough knowledge of statistical concepts (distributions, hypothesis testing, confidence intervals) and experience applying to real-world applications
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.