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Director, Data Science Jobs
Company | Rue Gilt Groupe |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail |
Expires | 2023-10-14 |
Posted at | 7 months ago |
THE ROLE: Director, Data Science
- You’ll own the data science strategy, build and foster deep partnerships with product, engineering, and technology leaders as well as the key business leaders in merchandising, marketing, operations, HR and finance.
- You will elevate the strategic conversation with actionable insights that further push and drive our innovation.
- You will lead a team of data science professionals with deep skills in modeling & algorithms, statistics, analytics, visualization, and machine learning engineering and invest in your talent to build bench strength as you scale the team.
- You will empower your team with the tools to do their best work and drive measurable value to the business, jumping in and contributing to the work as needed.
- You will be expected to know, and be a thought leader, in the commercial application of data science capabilities in a retail context
- You work with stakeholders and able to understand their needs and make products that solve business problems
- You’re a strategic problem solver, proficient with prioritization and partner engagement with the ability to paint and evolve a long-term vision that aligns to top business priorities, while driving and executing on the immediate, most critical needs.
- You have a strong breadth and depth in the field of applied machine learning, statistical testing methodology, analytics, predictive modeling, and algorithms to tackle exciting problems with enough technical prowess to anticipate roadmap, system and/or integration challenges.
- You’re meticulous in your approach to the data, but are a lead with a strong EQ to empower your team while also genuinely interested in and engaged across the broader organization.
- You’re a strong coach and mentor, you know how to get the best from people!
- MS or PhD (Preferred) in Machine Learning, AI, Computer Science, Mathematics
- Experience working within AWS or GCP Ecosystem as it applies to managed services and serverless technologies.
- 10+ years of experience working in applied data science field with a strong technical foundation
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