Data Scientist

What you will do

• Work with business owners across functions to deliver high-quality, data-driven solutions that directly impact business outcomes.
• Build and validate machine learning and statistical models to predict consumer behavior and optimize products, processes, and decision-making.
• Translate complex data into actionable insights that address key business challenges including market expansion, product development, cost optimization, customer acquisition, retention, and churn.

Responsibilities:

• Bachelor's degree or higher in Statistics, Applied Mathematics, Computer Science, Data Science, or a related quantitative field.
• 2+ years of hands-on experience in data science, machine learning, or quantitative analytics.
• Proficiency in statistical/ML programming language (Python, R, or SAS).
• Solid understanding of model development and the ability to navigate tradeoffs between model performance, interpretability, and business feasibility.
• Strong SQL skills with experience querying large-scale relational or cloud-based databases (e.g., BigQuery, PostgreSQL).

It’s Great if You Have

• Experience working with financial services, including credit risk, fraud, or customer segmentation.
• Familiarity with machine learning model lifecycle management.
• Experience working with GCP or BigQuery is a plus.