Note: The job is a remote job and is open to candidates in USA. Candid is a nonprofit providing data and insights about the social sector. The Data Scientist will work as a generalist applied scientist, applying machine learning to data quality, model evaluation, data products, and exploratory prototypes while partnering with product, data, engineering, analytics, and subject-matter teams.
Responsibilities
- Apply ML across data problems: detection, classification, entity resolution and matching evaluation, anomaly detection, embeddings and semantic search, and feature engineering
- Measure how models perform on real production data (not just test sets), build ground-truth where labels don’t exist, and detect drift and degradation
- Apply ML to data quality: find systematic, at-scale errors that queries and manual review miss, and route findings to the people who own the fixes
- Take open-ended questions through to a prototype and a clear recommendation, including ruling ideas out when they aren’t worth building
- Build enabling tooling and dashboards (for example, semantic search over text, or Streamlit dashboards) that help analysts and stewards do their work
- Work embedded with a product or data team on project-defined scope, partnering with engineers, analysts, PMs, and subject-matter experts
- Take on other ML and data-science projects as Candid’s needs and priorities shift
Skills
- 3-5 years of relevant experience
- A strong generalist applied data scientist, comfortable moving across classification, entity-resolution and matching evaluation, anomaly detection, embeddings and semantic search, feature engineering, and exploratory feasibility work
- Strong Python and SQL, comfortable with large production datasets (Starburst/Trino, Snowflake) and working in AWS
- Experience measuring model performance on real-world / production data (not just test sets), including building ground-truth where labels don't exist, and detecting drift
- Comfort building and maintaining dashboards (the team's are in Streamlit) that surface data-quality and model-performance metrics
- Experience taking a fuzzy question to a prototype and a recommendation, and being willing to rule an idea out
- Sound statistical judgment: sampling, error rates, uncertainty, and knowing when a finding is real
- Strong communication and comfort working embedded in another team with project-defined scope
- Sensitivity and respect for racial, gender, sexual orientation, and cultural differences
- Commitment to Candid's values: driven, direct, accessible, curious, and inclusive
- Preferred someone with experience applying ML to data quality, such as detection or classification models that flag anomalous or wrong records at scale
- Preferred (any of these are a plus): embeddings, semantic search, or NLP over text corpora; recommendation, ranking, or propensity modeling; computer vision or multimodal ML for image-based QA; experience evaluating entity-resolution or deduplication systems; turning exploration into derived-data products; and familiarity with the U.S. nonprofit and philanthropic sector
Benefits
- Health insurance (medical, dental, vision)
- Retirement contribution with additional option for a match
- Paid life insurance and AD&D
- Paid leave time (PTO, compassionate leave, volunteer, holiday, parental)
- Short-term and long-term disability
- Pre-tax transit
- Flexible spending accounts
- Supplemental insurance
- Summer hours
- Public Service Loan Forgiveness (PSLF) program eligible employer
- Remote work arrangement
- 35-hour work week, Monday through Friday
Company Overview
Company H1B Sponsorship