Senior Data Scientist

Datasite•Minneapolis, MN

About The Position

We are seeking a Senior Data Scientist to join an existing team developing high-value insights and products derived from massive behavioral datasets. You will bridge the gap between raw user behavior and alpha-generating insights by developing aggregate, anonymized products that meet rigorous privacy standards.

Requirements

Mastery of large-scale SQL data environments (e.g. Snowflake) with an emphasis on optimizing complex queries across billions of behavioral records.
Proficiency in Python with a focus on feature engineering, predictive modeling, and time-series analysis.
Deep understanding of financial markets, including experience with backtesting frameworks.
Experience building scalable data pipelines and deploying models within a CI/CD workflow.
Bachelor’s degree in statistics, data science, math, or a related field.
Master’s degree preferred.
5+ years in Data Science with a proven track record of transforming data from raw database tables into "ready-for-sale" products.
Direct experience working with Alternative Data providers or within a quantitative finance environment.
Experience defining the value proposition of proposed products, including the ability to demonstrate how customers would use these products to enhance decision making.

Responsibilities

Design and build products that translate anonymized behavioral signals into leading indicators for financial performance.
Research and create proprietary indices that can be leveraged by financial services clients.
Perform rigorous backtesting on new and existing products against historical financial outcomes.
Implement anonymization and aggregation techniques to ensure products are compliant and non-identifiable.
Collaborate with external researchers/clients to refine product requirements and validate desired outcomes.