Data Scientist

Interchecks Technologies is a leading venture-backed fintech company dedicated to transforming financial transaction management. We provide payment processing solutions to top operators in online sports betting and fintech.

Founded in 2016 on the simple idea that sending money should be easy, fast, and affordable, Interchecks saw businesses struggling with increasingly complex payments and consumers disappointed with their options. We decided there had to be a better way — so we built it.

Starting with 1099 vendor payments, we expanded rapidly to support real-time payments for gaming operators with the legalization of online gaming in 2018. Unlike many narrow and inflexible payout solutions, Interchecks offers a comprehensive and flexible platform with strong compliance capabilities, enabling us to serve regulated industries like gaming and replicate this success across other fintech verticals.

Opportunity

As a Data Scientist, you will support the development of analytical models that help improve our product quality, risk outcomes, and inform business decisions. Working closely with data scientists, product managers, data engineers and data analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.

This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a product-focused environment.

Key Responsibilities

• Collaborate with data scientists to develop and improve existing models and analytical processes
• Apply and develop scientific methodology, statistics, and algorithms to identify trends, patterns, and opportunities
• Conduct data exploration to discover and develop predictive features for analytical modeling
• Write efficient SQL queries and work with cloud-based data warehouse to prepare and analyze large-scale data
• Research, design, and implement algorithms to solve complex problems. Demonstrate a deep understanding of key performance metrics to extract valuable insights
• Document workflows, data definitions and processes to support compliance and organizational knowledge sharing

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, or another quantitative field
• 2–4+ years of experience in data science, analytics, or a related quantitative role
• Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design
• Familiarity with machine learning concepts and common libraries such as scikit-learn
• Proficient with programming in Python
• Proficient in writing SQL queries to extract, transform, and analyze data from diverse data sources
• Strong attention to detail and the ability to work with large datasets while maintaining data integrity
• Excellent analytical and problem-solving skills with the ability to interpret complex data sets and communicate insights effectively

Interchecks

Interchecks Technologies is a leading venture-backed fintech company dedicated to transforming financial transaction management. We provide payment processing solutions to top operators in online sports betting and fintech.

Founded in 2016 on the simple idea that sending money should be easy, fast, and affordable, Interchecks saw businesses struggling with increasingly complex payments and consumers disappointed with their options. We decided there had to be a better way — so we built it.

Starting with 1099 vendor payments, we expanded rapidly to support real-time payments for gaming operators with the legalization of online gaming in 2018. Unlike many narrow and inflexible payout solutions, Interchecks offers a comprehensive and flexible platform with strong compliance capabilities, enabling us to serve regulated industries like gaming and replicate this success across other fintech verticals.

Opportunity

As a Data Scientist, you will support the development of analytical models that help improve our product quality, risk outcomes, and inform business decisions. Working closely with data scientists, product managers, data engineers and data analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.

This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a product-focused environment.

Key Responsibilities

• Collaborate with data scientists to develop and improve existing models and analytical processes
• Apply and develop scientific methodology, statistics, and algorithms to identify trends, patterns, and opportunities
• Conduct data exploration to discover and develop predictive features for analytical modeling
• Write efficient SQL queries and work with cloud-based data warehouse to prepare and analyze large-scale data
• Research, design, and implement algorithms to solve complex problems. Demonstrate a deep understanding of key performance metrics to extract valuable insights
• Document workflows, data definitions and processes to support compliance and organizational knowledge sharing

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, or another quantitative field
• 2–4+ years of experience in data science, analytics, or a related quantitative role
• Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design
• Familiarity with machine learning concepts and common libraries such as scikit-learn
• Proficient with programming in Python
• Proficient in writing SQL queries to extract, transform, and analyze data from diverse data sources
• Strong attention to detail and the ability to work with large datasets while maintaining data integrity
• Excellent analytical and problem-solving skills with the ability to interpret complex data sets and communicate insights effectively

Preferred Qualifications

• Exposure to modern warehouses (Snowflake/Redshift)
• Experience utilizing Git/version control
• Strong understanding of data quality principles and best practices

Traits for Success at Interchecks

The people who thrive here tend to be:

• Comfortable getting their hands dirty and operating without perfect information
• Ownership-driven and accountable for outcomes, not just tasks
• Thoughtful collaborators who bring clarity, not ego
• Energized by building in fast-moving environments
• Curious, pragmatic, and solutions-oriented

Compensation Transparency

The base salary range for this position is $150,000 to $225,000 annually. Final compensation will be determined within this range based on a number of factors, including but not limited to relevant experience, skills, role scope, and geographic location.

We are intentional about placing offers thoughtfully within the posted range to ensure internal equity, market alignment, and room for growth over time.

In addition to base pay, this role is eligible for:

• Equity grants. You will be an owner of what you are building and share directly in the long-term success of Interchecks
• Bonus Eligibility
• 401(k) with company match
• Medical, dental, and vision insurance
• Unlimited paid time off and paid holidays
• Wellness, learning, and home office stipends
• Other benefits designed to support you both inside and outside of work

Final compensation decisions are made based on role scope, experience, and internal leveling.

Accessibility & Accommodations

Interchecks is committed to creating an inclusive and accessible hiring experience. If you require a reasonable accommodation to apply for a role or participate in the interview process, please contact View email address on click.appcast.io

Equal Opportunity Employer

Interchecks is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.