Senior Manager, Data Science_Global

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Effective communication skills, Machine learning techniques, Python Programming, SQL

Job Description

About the job

The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the ‘moments that matter’ in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity.

What you will do

• Be responsible for building and growing teams that focus on understanding Red Hat’s finance and sales operations and associated products and offerings 
• Help the team create language models that automate interactions between operational teams across Red Hat ranging from order management, account management, and product operations 
• Leverage your knowledge in statistics, operations research, and machine learning to build foundational frameworks to serve stakeholders in finance and sales operations, content, and product Grow and mentor other data scientists
• Support and champion the team in collaboration with other teams within Red Hat, ensuring that these efforts are as seamless as possible
• Participate in continuous learning and improving your knowledge of the business and your technical and business skills; remain up to date in changes in the industry

What you will bring

Desired Skills/Experience

• M.S. or Ph.D. degree in Statistics, Machine Learning, Operations Research, or other analytical fields preferred.
• At least 8 years of experience in an industry setting, with 3 years of management experience
• Proven ability to develop and execute business influenced technical strategy
• Demonstrated track record of successfully leading global teams and their development
• Demonstrated track record of delivering business analytical solutions with strong technical background.

• Develop solutions and build prototypes to solve business problems using machine learning, operations research, and statistical analysis
• Create impact by solving ambiguous problems and driving clarity
• Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide actions for executive audiences
• Craft project roadmaps with business stakeholders and lead data science teams on execution
• Provide coaching and mentorship to the data scientists on your team

• Advanced knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics
• Experienced in Python and SQL
• Understanding of model deployment and CI/CD
• Experience in gradient boosted machines, operations research and optimization, and networks/graphs (Preferred)
• Proven ability in building relationships and collaborate with stakeholders across large organizations (Preferred)
• Excellent verbal and written communications skills (Preferred)

Personal qualities and communication

• Communicate and influence for impact by bring data to life via clear narratives and/or storytelling
• Communication skills and experience in interacting with cross functional business and engineering teams 
• Capability in undertaking business needs analysis in direct consultation.
• Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change.
• Capability to develop a detailed understanding of our business requirements.
• Excellent communication, presentation, and writing skills