Lead Data Scientist

• Responsibilities:
• Work with large datasets and solve difficult analysis problems, applying advanced analytical methods.
• Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
• ▪ Build and prototype analysis and ML model pipelines iteratively to provide insights at scale.
• Develop a comprehensive understanding data structures and metrics, advocating for changes in product development and sales activity.
• ▪ Make actionable business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• ▪ Research and develop analyses, forecasting, and optimization methods across customer segmentation, end-user behavioral modeling, and live A/B experiments
• ▪ Manage and technically lead a data science team.
• Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify design opportunities and assess improvements
  

Requirements

• Doctorate's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
• 10 years of tech industry work experience as a statistician, bioinformatician, or data scientist
• Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
• 4 years of leadership experience, including people management.
• Applied experience with machine learning on large datasets.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
• Ability to select the right statistical tools given a data analysis problem
• Master's degree in a quantitative discipline (e.g., Statistics, Bioinformatics, Economics) or equivalent practical experience