Staff Data Scientist

Summary

Join Octane®, a revolutionary company in recreational purchases, as a Staff Data Scientist. Lead projects in direct-to-consumer lead generation, credit risk, fraud detection, and more. Collaborate with data scientists and financial professionals to design and implement models for Octane's lending business. You will manage the entire data science lifecycle, from understanding business needs to deploying and monitoring models. This role requires extensive experience in machine learning, statistical modeling, and data analysis. Octane offers a competitive salary, stock options, and a comprehensive benefits package.

Requirements

• 7+ years in a data science role (or PhD in a quantitative field with 3+ years as a senior data science or comparable role)
• High Fluency with SQL, SparkSQL Python, PySpark and statistical / ML packages
• Experience with AWS or other cloud computing environments, specifically within the data domain
• Experience with Git for code management
• Specific experience deploying machine learning models to production environments and the relevant experience working closely with Product, Data Engineering and Engineering Team members

Responsibilities

• Apply state of the art machine learning, statistical modeling, and optimization techniques to drive business value
• Own the entire model development lifecycle from conception to deployment and model updates
• Convert insights into concrete, significant recommendations for business or product improvement, and succinctly communicate these findings to both executive and non-executive partners
• Analyze large data sets of proprietary and third-party data to derive insights and recommendations for policy, strategy, or product decisions
• Research and keep up to date with new modeling techniques and tools
• Mentor and guide junior data scientists, establish best practices for development, measurement and tracking of algorithm performance

Preferred Qualifications

• Experience with Data Bricks
• Experience developing automated feature store data pipelines
• Experience with credit risk models, fraud models, identity verification models, collections models or domain knowledge in financial space as it relates to data science and predictive model development
• Has initiated and driven projects to completion with minimal guidance
• Possesses ability to critically think and prioritize needs of the business

Benefits

• Robust Health Care Plans (Medical, Dental & Vision)
• Generous Parental Leave
• Up to 5 weeks time off (self-managed)
• Retirement Plan (401k) with company match!
• Educational Assistance/Tuition Reimbursement up to $3K/year
• Life Insurance (Basic, Voluntary & AD&D)
• Short Term / Long Term Disability
• Robust Ancillary benefits including accident insurance, hospital insurance, etc
• Wellhub wellness benefit
• Powersports Safety benefit