Staff Data Scientist

Posted 11 Days Ago
Be an Early Applicant
Remote
140K-175K Annually
Senior level
Consumer Web • Fintech
Instant financing to fuel your lifestyle.
The Role
The Staff Data Scientist will lead projects on consumer lead generation, credit risk analytics, and model development, utilizing machine learning and statistical techniques to drive business value. This role includes the entire model lifecycle, from conception to monitoring, and requires mentoring junior data scientists.
Summary Generated by Built In

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible.

Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing.

Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners.

We are looking for a talented Staff Data Scientist to lead projects related to direct-to-consumer lead generation models, credit risk analytics, fraud detection, identity verification, collections, and servicing model development. You will be working with a versatile team of data scientists and financial professionals to design and implement models underlying the core functions of Octane's lending business and loan portfolios. You will touch all phases of the data science lifecycle from working closely with business stakeholders to understand how data science and predictive models can help achieve core business goals and objectives, to then identifying and aggregating appropriate data assets from which to development relevant predictive machine learning models to deploying, assessing, and monitoring said models.

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.


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.

Preferred 

  • 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.

Compensation: The role described above offers a base salary of $140,000 to $175,000.  Your offer will be based on the alignment of your qualifications with the requirements of the job, location and internal equity.  In addition to the above-mentioned salary, Total Rewards include a stock option package, and benefits as outlined below.

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

Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.

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Top Skills

Python
SQL
The Company
New York, NY
500 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Our Story
Octane was founded in 2014 to make financing powersports fast and easy.

Octane offers instant financing to fuel your lifestyle. We’re passionate about fast and fair lending, so we built the Octane Platform to enable instant financing for as many people as possible. And because we’re quicker and simpler than other lending platforms, we’re growing fast. Octane reaches millions of enthusiasts through editorial brands like Cycle World and UTV Driver and helps consumers buy their favorite products by prequalifying them on dealer and OEM websites. Join us in our mission to connect people with their passion.

Instant Finance Offers
Octane Prequal expands markets by providing personalized, real rates and payments. We give dealers and consumers tools to compare and understand what they can afford, even without perfect credit.

Soft-Pull, Impact-Free Credit Technology
We feel strongly about not impacting potential customers’ credit scores, so we built a technology that lets shoppers browse vehicles and rates without the damaging impact of hard credit pulls.

Robust Digital Tooling for Dealers
Our Dealer Platform provides flexibility and financing options for dealers. Octane enables serving more customers faster with an instant, fully digital experience, shaving hours off deal times. Octane increases sales and customer satisfaction.

Why Work With Us

We’re a diverse team of innovators determined to give our customers the best possible experience. Information is shared transparently, enabling cross-functional collaboration. We’re a performance based culture where accomplishments are both celebrated and rewarded, always looking for new talent to help us develop our industry-leading products.

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