Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $100k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Candid

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2019

🤝 Non-profit

🔌 API

☁️ SaaS

Non-profit • API • SaaS

Candid is a nonprofit organization that collects, curates, and distributes comprehensive data and insights about nonprofits and foundations. It provides searchable organization profiles, grant and funding data, research and analysis, and developer APIs and data services to help funders, nonprofits, researchers, and technical partners find funding, verify organizations, and integrate nonprofit data into workflows.

📋 Description

• Apply ML across data problems including detection, classification, entity resolution and matching evaluation, anomaly detection, embeddings and semantic search, and feature engineering • Measure model performance on real production data, build ground-truth where labels do not exist, and detect drift and degradation • Apply ML to data quality by finding systematic, at-scale errors that queries and manual review miss and routing findings to fix owners • Take open-ended questions through prototyping and clear recommendations, including ruling out ideas that are not worth building • Build enabling tooling and dashboards, such as semantic search over text and Streamlit dashboards, to help analysts and stewards • Work embedded with a product or data team on project-defined scope • Partner with engineers, analysts, PMs, and subject-matter experts • Take on other ML and data-science projects as Candid’s needs and priorities shift • Report to the Director of Data Science

🎯 Requirements

• 3-5 years of relevant experience • 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, including Starburst/Trino and Snowflake • Experience working in AWS • Experience measuring model performance on real-world/production data, including building ground-truth where labels do not exist and detecting drift • Comfort building and maintaining Streamlit dashboards that surface data-quality and model-performance metrics • Experience taking a fuzzy question to a prototype and recommendation, including ruling out ideas • Sound statistical judgment regarding sampling, error rates, uncertainty, and determining when a finding is real • Strong communication and comfort working embedded in another team with project-defined scope • Preferred experience applying ML to data quality • Preferred experience with embeddings, semantic search, NLP over text corpora, recommendation/ranking/propensity modeling, computer vision or multimodal ML, entity-resolution or deduplication systems, derived-data products, or the U.S. nonprofit and philanthropic sector • Willingness to perform other duties and special projects as needed/requested • Sensitivity and respect for racial, gender, sexual orientation, and cultural differences • Commitment to Candid's values: driven, direct, accessible, curious, and inclusive

🏖️ 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 • In-person attendance at annual weeklong all-staff summits twice per year