Manager II, Data Science and Analytics

Tasks

• Build and coach data science teams
• Communicate executive ready insights and recommendations
• Define and evolve data science capabilities and standards
• Define success metrics and optimize portfolio impact
• Develop and deploy production machine learning solutions
• Drive cross functional alignment and manage dependencies
• Establish analytics quality reproducibility and automation standards
• Lead multi team analytics and data science portfolios
• Translate business strategy into data science roadmaps

Perks/Benefits

• Conferences and seminars
• Inclusion
• Mentorship
• Professional growth
• Tuition reimbursement
• Work from home

Skills/Tech-stack

AWS | Artificial Intelligence | Azure | Big Data | Experimentation | Feature Engineering | Google Cloud | MLOps | Machine Learning | Optimization | Predictive Analytics | Python | R | SQL | Statistical Analysis