Data Science Manager (Supply Chain) 100% Remote Direct Hire Fortune 100 CO H1B Okay
Data Science Manager (Supply Chain) 100% Remote Direct Hire Fortune 100 CO H1B Okay
Confidential
United States
See who Confidential has hired for this role
POSITION SUMMARY:
We are seeking a Senior Manager, Data Science to help drive the development of industry-leading predictive models as part of its Enterprise Analytics Team. As a Sr. Manager, you will own the technical development of a portfolio of domain-specific predictive models in support of a functional group (Pricing, Merchandising, Supply Chain & Logistics, etc). We are open to h1sponorship. This will be for fortune 100 company.
There are two primary responsibilities of the Sr. Data Science:
- Develop predictive analytics (“hands-on-keyboard”) via statistical, machine learning, and mathematical models on our corporate data to get actionable business insights as the technical expert in the portfolio
- Lead and coach data scientists to succeed in their areas of responsibility and in support of the domain-specific portfolio of models that you are accountable for
RESPONSIBILITIES:
- Lead the technical development of an industry-leading predictive analytics portfolio in support of key functional & business priorities (e.g., demand generation, assortment optimization, supply chain design & optimization)
- Work with Sr. Directors and Directors throughout the companys time to frame business opportunities and develop appropriate analytic strategies. Ensure the appropriate analytical techniques are used to solve those business opportunities.
- Implement data science models and visualizations using Python, Tableau and open source libraries
- Manage, attract, coach, retain, and motivate a world class team of scientists and engineers
- Lead multiple projects simultaneously and help team resource planning.
- Perform regular code reviews and give feedback on approach and coding standards to junior data scientists.
- Design and execute experiments to validate solutions during product rollout and present results to leadership.
- Collaborate with cross-functional teams to drive business results through various use cases of customer-level in
- Work with our technology teams on data integration to architect, build and continuously improve data assets, which are the foundation of data-driven and customer-centric initiatives
QUALIFICATIONS:
Education and / or Experience:
- Master’s degree + 4 years or PhD + 2 years of industry experience in management consulting, strategy, analytics, at a specialized analytics company or in an analytics organization in a corporate setting.
- Degree should be in mathematics, statistics or computer science or related field; preferred from a top tier University.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
IT Services and IT Consulting
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See who you knowFeatured Benefits
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Medical insurance -
Pension plan -
Paid paternity leave -
Tuition assistance -
Disability insurance -
Commuter benefits -
Child care support -
Vision insurance -
Dental insurance -
Paid maternity leave -
Student loan assistance -
401(k)
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