Senior Data Scientist

Ohiox; United States; Remote; USD 149,000 - 207,000; Full time

Job summary

An innovative digital-first company is seeking a Data Scientist to join their dynamic Machine Learning team. In this role, you'll leverage your expertise in data analysis and statistical theory to drive impactful business decisions and optimize model performance. Your insights will help shape strategies for growth and pricing, while collaborating with engineers and product managers. This is a fantastic opportunity to work in a flexible remote environment, where your contributions will be valued and recognized. Join a mission-driven team that is dedicated to expanding access to credit and making a difference in the financial landscape.

Benefits

Competitive Compensation (base + bonus & equity)

Comprehensive medical, dental, and vision coverage

401(k) with company match

Employee Stock Purchase Plan (ESPP)

Generous holiday and vacation leave

Annual wellness reimbursement programs

Catered lunches and snacks in offices

Supportive parental and family care leave programs

Social activities and team events

Qualifications

• 2+ years of experience in data science or analytics roles.
• Strong proficiency in SQL and Python for data manipulation.

Responsibilities

• Conduct in-depth data analyses to uncover growth opportunities.
• Collaborate with cross-functional teams to drive measurable business impact.

Skills

Data Analysis

Statistical Theory

Machine Learning

SQL

Python

Critical Thinking

Education

Advanced degree in Statistics, Mathematics, Economics, or related field

Tools

Plotly

Matplotlib

Job description

About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower 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 zero documentation to upload.

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

Most Upstarters 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 make at Upstart, we’d love to hear from you!

The Team:

At Upstart, our mission is to expand access to credit using advanced machine learning models that better evaluate true risk. Our Machine Learning team researches and productionizes all of Upstart’s core predictive models. If data is the new oil, then you’ll be responsible for the refining process that creates the most premium fuel possible. You’ll work in an environment where actionable insights from data are valued and needed, so you’ll be able to see your analysis turn into measurable results for our company and our borrowers.

As a Data Scientist, you'll leverage technical and business acumen to become an expert in our models and how the models interact with the business. Identify potential problems or opportunities for improvement, communicate these issues to the team, stakeholders and suggest solutions. This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external business partners. Collaborating with ML scientists, engineers, product managers, and growth marketers, your work will drive data-informed decisions and measurable business impact.

How you’ll make an impact

• Build and refine metrics for model performance and help understand uncertainty around model performance.
• Conduct in-depth data analyses to uncover growth opportunities and inform pricing strategy.
• Collaborate with engineers and analysts to build scalable data pipelines that enable efficient data access.
• Partner with cross-functional teams (ML scientists, engineers, product managers, and growth marketers) to align on priorities and drive measurable business impact.
• Develop dashboards and reporting tools to monitor key metrics and track performance.

Minimum Qualifications

• Advanced degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field.
• 2+ years of experience in data science, analytics, or related fields.
• Strong understanding of statistical, probability, and machine learning theory.
• Strong proficiency in SQL for querying and analyzing large datasets.
• Experience with Python and data analysis libraries.
• Proven ability to translate complex data insights into business impact and strategic recommendations.

Preferred Qualifications

• Strong critical thinking skills and ability to translate general problem statements into actionable solutions.
• Knowledge of statistical methods for measuring uncertainty (e.g., Bayes, Frequentist approaches).
• Experience collaborating with cross-functional teams including ML scientists, engineers, and product partners.
• Experience in building visualizations and maintaining Dashboards (Plotly or Matplotlib) to track model performance.
• Serving as an expert in the areas of experimental testing, Causal Inference, A/B testing or Hypothesis testing.

Position location: This role is available in the following locations: Remote

Time zone requirements: The team operates on the East/West 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 anywhere in the U.S but are encouraged to still spend high quality time in-person collaborating via regular onsite. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

What you'll love:

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
• 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
• Employee Stock Purchase Plan (ESPP)
• Life and disability insurance
• Generous holiday, vacation, sick and safety leave
• Supportive parental, family care, and military leave programs
• Annual wellness, technology & ergonomic reimbursement programs
• Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
• Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-Associate

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related 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, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range: $149,800 — $207,000 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better 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 [e-mail]

https://www.upstart.com/candidate_privacy_policy