A company is looking for a Staff Data Engineer to lead technical initiatives in data science and analytics.
Key Responsibilities
Collaborates with Data Scientists and cross-functional teams to streamline data flow for analytics capabilities
Defines best practices for data product development and guides the implementation of operational processes
Employs advanced analytics and machine learning techniques to enhance data reliability and quality
Required Qualifications
MS or PhD in statistics, mathematics, computer science, or related quantitative field with 6+ years of experience
Experience with informatica tools, SAS Analytics, Python, R, SQL, and AWS preferred
Proficiency in one or more programming languages such as Java, Python, or Scala
End-to-end experience with data handling, including querying and visualization
Proven leadership abilities and experience in biotech or pharma is a plus
Staff Data Engineer • Sioux Falls, South Dakota, United States