Data Scientist

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

Preferred

Exposure to modern warehouses (Snowflake/Redshift)

Experience utilizing Git/version control

Strong understanding of data quality principles and best practices

Benefits

Equity grants.

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

Instant payment platform for deposits and payouts.

Brooklyn, New York, USA

https://www.interchecks.com

Distribution of Different Job Fields Receiving Sponsorship

100

Represents job field similar to this job

Engineering and Development

Trends of Total Sponsorships

*2026

(1)

Growth Stage

Total Funding

$78.8M

Key Investors

Bettor Capital,Commerce Ventures,Decades Holdings,Thayer Street Partners

Senator Investment Group

FINLAB

2026-06-15

Series C· $50M

2022-02-08

Series Unknown· $10.5M

2022-01-27

Series B· $16M

Leadership Team

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

Exposure to modern warehouses (Snowflake/Redshift)

Experience utilizing Git/version control

Strong understanding of data quality principles and best practices

Required skills

Amazon Redshift, Experimental Design, Git, Hypothesis Testing, Machine Learning, Python, Regression Analysis, Represents the skills you have, SQL, Scikit-learn, Snowflake, Statistics, click on the tags

Preferred skills

Experience utilizing Git/version control, Exposure to modern warehouses (Snowflake/Redshift)

Experience

2+ years