Data Scientist
Skills
DriftInterest RatesLabelsMicrosoft SurfaceModelingPhilanthropyProperty Management Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3-5 years of relevant experience
- Strong generalist applied data science background
- Strong Python and SQL
- Experience with large production datasets in Starburst/Trino and Snowflake
- Working knowledge of AWS
- Experience measuring model performance on real-world production data
- Ability to build ground truth where labels do not exist
- Ability to detect drift and degradation
- Comfort building and maintaining Streamlit dashboards
- Ability to take a fuzzy question to a prototype and recommendation
- Sound statistical judgment including sampling and error rates
- Strong communication and ability to work embedded in another team
- Willingness to perform other duties and special projects as needed
- Sensitivity and respect for racial gender sexual orientation and cultural differences
- Commitment to Candid values driven direct accessible curious and inclusive
Nice to have
- resourceful
- creative
- conscientious
- detail-oriented
- independent
- curious
- inclusive
Day to day
- Apply machine learning across data-quality and data-product problems, including detection, classification, entity resolution, anomaly detection, embeddings, semantic search, and feature engineering.
- Measure how models perform on real production data, build ground truth where labels do not exist, and identify drift or degradation over time.
- Work independently on project-defined scopes with product or data teams, prototyping solutions, building dashboards and tooling, and turning open-ended questions into clear recommendations.