This range is provided by Confidential. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$110,000.00/yr - $140,000.00/yr
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Confidential by 2x