Data Scientist for Social Good (Remote)

Candid; Northern (KY); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Retirement contribution with 401(k) or

Paid leave time (PTO, compassionate, &

Disability insurance

Pre-tax transit

Public Service Loan Forgiveness (PSLF)

Job summary

Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We are hiring a Data Scientist to join the Data Science team to tackle data-quality problems at scale, measure model performance in production, and prototype new data products.

The role is remote with occasional in-person summits; 35-hour work week; compensation $100,000–$130,000 for NYC area, adjusted for other localities. Strong Python/SQL and AWS experience preferred.

Qualifications

• 3-5 years of relevant experience.
• Strong generalist applied data scientist capable across classification, entity-resolution and matching evaluation, anomaly detection, embeddings and semantic search, feature engineering.
• Strong Python and SQL, comfortable with large production datasets (Starburst/Trino, Snowflake) and AWS.
• Experience measuring model performance on real-world production data, including building ground-truth where labels don’t exist, and detecting drift.
• Comfort building dashboards (e.g., 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.

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, 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

Python

SQL

AWS

Data quality

Model evaluation

Tools

Streamlit

Snowflake

Starburst/Trino

Job description

Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We are hiring a Data Scientist to join the Data Science team to tackle data-quality problems at scale, measure model performance in production, and prototype new data products.

The role is remote with occasional in-person summits; 35-hour work week; compensation $100,000–$130,000 for NYC area, adjusted for other localities. Strong Python/SQL and AWS experience preferred.