Senior Machine Learning Engineer

NLP PEOPLE; Charlottesville (VA); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading financial services company is seeking an experienced Data Scientist to enhance Risk and Fraud detection systems through innovative machine learning models. Join a mission-driven team focused on empowering the next generation's financial independence. This role offers the flexibility of remote work within the U.S. or in Palo Alto, CA, along with competitive benefits and growth opportunities.

Benefits

Full medical and dental benefits

High potential for growth

Stock in an early-stage startup

Flexible WFH and vacation policy

Paid parental leave

Employee referral program

401K plan

Qualifications

• 5+ years experience in Data Science or ML Engineering.
• Experience developing and deploying machine learning models.

Responsibilities

• Design, develop, and deploy machine learning models for Risk and Fraud.
• Lead technical efforts in the Risk/Fraud area.
• Use SQL for data manipulation.

Skills

Data Analysis

Communication

SQL

Python

Job description

Gen Z is the generation of the side hustle. They’re creators. They’re freelancers. They’re investors. And they’re not afraid to take on challenges, especially when it comes to their finances – and we’re here for it. Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. We’re on a mission to improve the financial future of the next generation by empowering teens to start their financial journey today. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting the banking industry through a differentiated mobile-first consumer experience. People love our product. We eclipsed over 5.5M customers, and if you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you!

The role

Step is looking for an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.

What you’ll do

1. Build and Deploy ML Models: Design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
2. Lead Technical Efforts: Take the lead in the Risk/Fraud area, providing technical direction and helping shape the team’s strategy.
3. Data Manipulation: Use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development.
4. Code Development: Write production-grade code to deliver robust machine learning solutions.
5. Design Experiments: Apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
6. Cross-Function Partnership: Partner with Operations Team to quickly respond to rapidly evolving events.

What we’re looking for

• 5+ years experience in Data Science or ML Engineering
• Proficiency in SQL and Python
• Ability to communicate clearly with both technical and non-technical audiences
• Excellent data analysis skills
• Experience developing and deploying machine learning models
• Experience, but not required, in working in financial systems, including lending or risk/fraud

This role is available remotely within the U.S. or in our Palo Alto, CA office.

Benefits

• Competitive salary based on experience, with full medical and dental benefits
• High potential for growth
• Stock in an early-stage startup
• Flexible WFH and vacation policy
• Paid parental Leave
• Employee referral program
• 401K plan