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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & ML Platform

NovaVista Analytics
San Francisco, CA
Salary Estimate
USD 140.000 – USD 180.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

NovaVista Analytics is seeking a Senior Data Scientist to join our AI & ML Platform team in San Francisco. You will build and scale ML models that power decision-making across product, sales, and operations. You will collaborate with data engineers, product managers, and software engineers to deploy end-to-end data science solutions in a fast-paced, metrics-driven environment.

We value hands-on expertise in modern ML frameworks, strong communication, and a customer-centric mindset. This role offers a competitive compensation package, comprehensive benefits, and opportunities for professional growth.

Responsibility

  • Design, implement, and maintain end-to-end machine learning models and pipelines for business-critical use cases.
  • Collaborate with product and software teams to translate business problems into data-driven solutions.
  • Experiment with feature engineering, model selection, and hyperparameter tuning to maximize performance and reliability.
  • Monitor, troubleshoot, and retrain models to maintain performance in production.
  • Develop robust documentation, testing, and deployment processes (CI/CD for ML).
  • Communicate insights and recommendations to non-technical stakeholders through clear storytelling and dashboards.
  • Mentor junior data scientists and contribute to a collaborative data science culture.

Qualification

  • Master’s or PhD in Computer Science, Statistics, Applied Math, or a related field.
  • 5+ years of hands-on data science experience with end-to-end ML product development.
  • Strong proficiency in Python and SQL; experience with Spark or similar big data frameworks.
  • Experience with TensorFlow, PyTorch, scikit-learn, and model deployment in cloud environments (AWS, GCP, or Azure).
  • Proven ability to translate business questions into statistical experiments and actionable insights.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Familiarity with MLOps concepts, experimentation platforms, and monitoring tools.

Required Skills

Python R SQL Spark TensorFlow PyTorch scikit-learn Data Visualization MLOps Experimentation A/B Testing Git

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