Lead Data Scientist

About the Role

Key Responsibilities

• Translate business objectives to data science problems and vice versa.
• Lead analytical projects by transforming business requirements into actionable solutions, overseeing the entire project from development to implementation.
• Use a combination of exploratory analysis and data mining techniques to identify and understand trends and anomalies.
• Design, develop and validate predictive, prescriptive models for business use cases, ensuring successful adoption of the models by the business.
• Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
• Partner with business stakeholders to identify, develop innovative modeling solutions and implement necessary monitoring to deploy models in production.
• Use data storytelling skills to communicate deep technical outcomes from models to non-technical audiences, leveraging data-driven visuals.
• Utilize AWS and/or Azure cloud platforms to deploy, manage, and scale AI models and machine learning solutions, ensuring seamless integration with existing infrastructure.
• Serve as the SF2-US Center of Excellence for Data Science standards and processes, including training and coaching on techniques and tools.
• Foster model improvement efforts through communication with model users by collecting feedback and discussing it with other experts and management.

Requirements

• Bachelor's degree in statistics, computer science, economics, engineering, or a similar quantitative field, or equivalent experience.
• 5+ years of professional experience as a data scientist or similar in a corporate environment.
• Experience using AI tools; preferably Jupyter with Python, Data Robot, and SAS.
• Experience using BI tools; preferably Tableau.
• Experience using SQL; preferably Postgres SQL and T-SQL.
• 3 years leading agile project delivery for analytical topics.
• 3 years of experience in the Financial Services or Automotive Industry (preferred).

Nice to Have

• Experience in the Financial Services or Automotive Industry.

Qualifications

• Bachelor's degree in a relevant quantitative field or equivalent experience.

Benefits & Perks

• Medical, Dental, and Vision insurance.
• 401(k) with Company match and Retirement Income Account.
• Employee vehicle program.
• Bonus eligibility.
• Paid Parental Leave.
• Generous PTO and Company paid holidays.
• Voluntary Benefits to fit your needs.
• Relocation assistance.