Data Scientist

Interchecks • New York, NY

5d • $150,000 - $225,000

About The Position

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.

Requirements

• 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

Nice To Haves

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

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level