Data Science Team Leader

Responsibilities
Manage a team of data science, support the existing team and grow the team    
Work with internal and external subject matter experts to drive the product’s roadmap, execution plan and milestones   
Provide day to day guidance and assistance to team members to successfully deliver the product   
Participate actively in implementing complex algorithms   
Drive complex multi-disciplinary project under demanding time frames in complex customer environments    
Work with large, complex datasets of various vehicular subsystems; solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.    
Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of vehicular systems and data and offer security-focused insights regarding anomalies in the data sets.  
     
 Minimum Requirements
MS degree in a quantitative discipline (e.g., statistics, bioinformatics, economics, computer science, mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience.   
7 years of relevant work experience in data analysis or related field (e.g., as a statistician / data scientist).    
3 years of managerial experience   
Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g., SQL).    
Independent self-starter and team player   
Passionate about constantly learning new skills in a fast-paced environment
     
 Preferred qualifications
PhD degree in a quantitative discipline     
10 years of directly relevant, tech industry work experience, including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, deep learning, Bayesian inference.     
Applied experience with machine learning and deep learning on very large datasets.    
Experience articulating cybersecurity goals and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into actionable information.    
Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills.
      
 Bonus Points
Competitive Programmer or Competitive Data Scientist   
Knowledge of scalable data visualization techniques   
Ability to create prototypes quickly