Job description
NovaMetrics AI is redefining data-driven decision making for industry-leading clients. We are seeking a Senior Data Scientist to join our San Francisco team and lead end-to-end ML initiatives—from problem framing to production deployment and monitoring.
In this role, you will combine strong technical depth with a product mindset, collaborating with engineering, product, and business stakeholders to translate complex problems into scalable data solutions.
Responsibility
- Lead end-to-end data science projects from problem definition to deployment in production environments.
- Design, implement, and optimize scalable machine learning models and data pipelines with a focus on reliability and observability.
- Partner with product managers, engineers, and data engineers to translate business goals into data-centric solutions.
- Define success metrics, run rigorous experiments, and maintain reproducible, well-documented workflows.
- Mentor junior data scientists, perform code reviews, and promote best practices in modelling and experimentation.
- Communicate results and strategic insights to both technical and non-technical stakeholders.
- Contribute to data governance, feature store strategy, and ML Ops initiatives to scale impact.
Qualification
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on data science experience with production-grade ML models.
- Proficiency in Python (pandas, numpy, scikit-learn) and SQL; experience with TensorFlow or PyTorch.
- Strong experience with cloud platforms (AWS or GCP) and building scalable data pipelines (Airflow, Spark).
- Proven track record deploying models to production and building monitoring/alerting for model drift.
- Excellent communication skills and ability to influence stakeholders across disciplines.
- Experience with MLOps concepts, feature stores, versioning, and reproducible research practices.