Data Scientist at CareerVillage.org

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

125000.0

Posted On

21 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Modeling, Machine Learning, Workflow Development, Model Iteration, Performance Monitoring, Experimentation, Data Analysis, Python, SQL, Feature Engineering, Model Evaluation, Communication, Collaboration, Generative AI, Classification

Industry

Civic and Social Organizations

Description

CareerVillage is a fast-scaling tech nonprofit at the intersection of education, equity, and technology. We believe everyone deserves access to high-quality career guidance. That’s why we’ve built Coach, an AI-powered career navigation tool designed to help learners and job-seekers reach their full potential. In this role, you will help design, build, evaluate, and deploy data science solutions that power product decisions and user-facing experiences across two products: Coach (featured in Fast Company and Forbes), and CareerVillage.org, our flagship crowdsourcing platform supporting millions of learners, over 200,000 professionals, and thousands of teachers. About CareerVillage CareerVillage is dedicated to democratizing access to career information and advice for underrepresented people. As part of our Data, Research, Evaluation, and Metrics Team, you will use data science to unlock better learner outcomes, rigorously evaluate AI-powered systems, and help the organization make smarter, more impactful decisions at scale. Responsibilities: Design, build, and deploy predictive models that improve learner outcomes and product performance, including user behavior prediction, recommendations, ranking, and classification Develop, own, and continuously improve end-to-end data science workflows, including ongoing model iteration, retraining, and performance monitoring over time Take ownership of existing and new predictive models, diagnosing performance issues, adapting to data or product changes, and iterating to improve real-world impact over time Partner closely with product, engineering, research, and leadership to translate ambiguous questions into data science solutions Work closely with engineering partners to ship, maintain, and iterate on models in production; you will not be expected to build production infrastructure alone Contribute to AI and model evaluation frameworks, including offline metrics, experimentation, and qualitative analysis Analyze large, complex datasets to identify patterns, opportunities, and risks across our platforms Communicate modeling approaches, assumptions, tradeoffs, and results clearly to technical and non-technical stakeholders Write technical documentation, reports, and presentations that drive product and organizational decisions Support responsible, ethical, and equitable use of data and AI in education-focused products About You We know that applying for a job can be intimidating, and we value diverse paths into data science. The ideal candidate is: Mission-driven and excited to apply data science to social impact Interested in or experienced with education, workforce development, or serving underserved learners Curious about Generative AI systems and grounded in building reliable, measurable predictive models that perform well in production Comfortable working cross-functionally and bringing clarity to complex, open-ended problems Oriented toward shipping and learning from real users, not just building models in isolation What you bring: We value demonstrated impact and real-world experience over titles or formal credentials. 3+ years of experience in data science, machine learning, or a closely related applied role Experience independently developing, evaluating, and deploying data science or machine learning models in real-world settings Experience iterating on models after initial deployment, including responding to performance drift, changing data, or evolving product needs Strong proficiency in Python for data analysis and modeling (e.g., pandas, numpy, scikit-learn, PyTorch, TensorFlow, or similar) Experience working with SQL and production datasets Familiarity with model evaluation, validation, and monitoring over time Experience with data cleaning, feature engineering, and exploratory analysis at scale Comfort collaborating with engineers to productionize models (e.g., APIs, batch jobs, pipelines) Clear written and verbal communication skills Strong organizational, reliability, and collaboration skills that make you a great teammate Why work with us? We work to ensure you have everything you need to thrive in your role and on your team, including: An opportunity to improve real lives, solve hard problems, and make an impact on the world A chance to see the impact of your work on millions of people A chance to work with like-minded people who are working together on something ambitious and purposeful A fantastic and supportive organizational culture Salary ranging from $105,000 - $125,000 depending on experience 401K matching $1,500 Professional Development budget Very generous vacation policy Location We are a remote-first organization and can hire for this role in the USA. Team members must be able to work during business hours, 9 A.M. to 5 P.M., in the continental US time zones. Hybrid working is optional in NYC. CareerVillage's HQ is in Palo Alto, CA. At this time, we are unable to provide visa sponsorship for this role. Applicants must have independent authorization to work in the United States. To apply To apply, please submit your resume and, in a few sentences, share why you're interested in CareerVillage and this role via this Greenhouse application link. Please expect a minimum of 3 rounds in the interview process (initial phone screening, possible skills assessment, and typically two interview rounds). CareerVillage is an equal opportunity organization that celebrates diversity (for more information about our approach, check out our Diversity, Equity, and Inclusion Guidelines). Diversity includes race, gender identity, age, national origin, disability status, size, religion, sexual orientation, parental status, socioeconomic background, and many other parts of an individual’s identity. We are a fair choice employer: qualified applicants with a history of arrest or conviction are welcome to apply and will be considered for this role. Each team member’s perspective is integral to our success, and fostering an inclusive environment is everyone’s responsibility.

Responsibilities

The role involves designing, building, and deploying predictive data science solutions, such as recommendation and classification models, to enhance learner outcomes and product performance across two main products. Responsibilities also include owning and continuously improving end-to-end data science workflows, including model iteration and performance monitoring over time.