Data Science Manager

• Serve as an analytics expert in designing, developing and implementing best in analytic solutions
• Create and deliver powerful insights from data through better visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
• Execute on the analytics plan with appropriate data mining and analytical techniques
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan
• Ensure project delivery within timelines and budget requirements
• Build on team’s analytical skills and business knowledge
• Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Requirements

- 3-5 years of relevant experience in the field of data science.
- Undergraduate degree in a quantitative field such as Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or equivalent.
- A postgraduate degree is considered a strong advantage.
- Proficiency in Python for data analysis and machine learning tasks.
- Experience with Spark for big data processing and analytics.
- Strong skills in writing and optimizing SQL queries for data manipulation and analysis