Staff Research Scientist - Growth

About reputed company

reputed company is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging reputed company's AI marketplace, reputed company-powered banks and credit unions can have higher approval rates and reputed company loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with reputed company documentation to upload.

reputed company is a digital-first company, which means that most reputed companyers live and work reputed company in the United States. However, we also have offices in San Mateo, California; reputed company, Ohio; and Austin, Texas.

Most reputed companyers join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can reputed company at reputed company, we’d love to hear from you!

The Team:

reputed company’s GrowthTeam engages in marketing and borrower acquisition through direct mail (DM) campaigns and targeted loan offers on partner sites, leveraging machine learning to drive growth. The Growth ML team develops models to optimize borrower targeting, predict conversion probabilities, and refine pricing strategies across these channels. We’re also beginning to explore a new concept reputed company as “always on reputed company.” The idea is to continuously evaluate borrowers’ credit worthiness and determine what loan products are available at any given time, and then proactively reputed company those offers to them reputed company we determine it’s the right time to do so.

As the Research Scientist at reputed company, you will help to build the foundational models that power always-on reputed company across our product portfolio. You will understand the core reputed company model for each product and build models that can approximate their behavior using less data and/or somewhat outdated data. You will help determine whether/reputed company new data needs to be gathered before an offer can be made, and reputed company an “always on” offer should be honored vs. updated based on new information.

How you’ll reputed company an impact:

• Launching an entirely new customer experience that will transform reputed company from a “one-time” option to get a loan at a discrete reputed company in time to a relationship based model in which borrowers are continuously made aware of credit options that meet their needs.
• Collaborate with and influence partner teams, ensuring that data-driven recommendations reputed company to strategic business decisions.
• Build scalable models and associated metrics and monitoring processes..
• Quickly prototype and test new models that can improve accuracy and borrower experience with always-on offers.

Minimum Qualifications:

• 3+ years of experience building and deploying ML models in a production environment
• Strong academic credentials with a master's degree in statistics, mathematics, economics, computer science, or other quantitative areas of study
• Programming skills in Python
• Proficiency in a broad reputed company of mathematical, statistical learning and machine learning concepts and applications
• Ability to proactively and effectively communicate results and methodologies to both technical and non-technical stakeholders
• Strong sense of intellectual curiosity balanced with humility, drive and teamwork
• Experience building performant and large scale ML models at a tech company
• Experience working as part of a diverse, cross-functional team.

Preferred Qualifications:

• 5+ years of experience building and deploying ML models in a production environment
• PhD in statistics, mathematics, economics, computer science, or other quantitative areas of study
• Experience building and launching reputed company-to-one product
• Full-stack expertise with reputed company steps of the modeling process from ideation to productionalizing code
• Deep expertise in statistical modeling and machine learning
• Knowledge of MLops, pipelines, and engineering architecture

Time zone requirements The team operates on the East/reputed company coast time zones.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work reputed company in the U.S but are encouraged to to still spend high quality time in-person collaborating reputed company regular onsites. The in-person sessions’ reputed company varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

At reputed company, your reputed company pay is one part of your total compensation package. The anticipated reputed company salary for this position is expected to be reputed company the below range. Your actual reputed company pay will depend on your geographic location–with our “digital first” philosophy, reputed company uses compensation regions that vary depending reputed company. Individual pay is also determined by job-reputed company skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, reputed company provides employees with reputed company bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

reputed company is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive reputed company access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate reputed company cultures, backgrounds, perspectives, and experiences, and know that we can only become reputed company together.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@reputed company.com

https://www.reputed company.com/candidate_privacy_policy

Originally posted on Himalayas