Data Scientist
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Job Description
Data Scientist at CareerVillage.org designing predictive models to improve learner outcomes and product performance. Collaborating cross-functionally to drive data science solutions.
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
Requirements:
- 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
Benefits:
- 401K matching
- $1,500 Professional Development budget
- Very generous vacation policy
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