Job Description
Are you ready to shape the future of machine learning? Nexus AI is seeking a visionary Senior Data Scientist to join our elite engineering team in the heart of San Francisco. You will leverage petabyte-scale datasets to build predictive models that solve complex real-world challenges for global enterprises.
We foster a culture of radical transparency, rapid experimentation, and technical excellence. If you are passionate about turning raw data into actionable intelligence, we want to hear from you.
Responsibilities
- Design and deploy sophisticated machine learning models to production environments.
- Collaborate with cross-functional product teams to define data requirements and KPIs.
- Perform deep-dive exploratory data analysis to uncover hidden market opportunities.
- Mentor junior data scientists and contribute to code review processes.
- Optimize model performance and latency for high-throughput streaming data.
- Communicate findings through interactive data visualizations and executive-level briefings.
- Implement MLOps best practices to ensure scalable and reproducible research pipelines.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of industry experience in building and shipping production-level ML models.
- Expert-level proficiency in Python and data manipulation libraries (Pandas, NumPy, Scikit-learn).
- Demonstrated experience with cloud ecosystems (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong knowledge of SQL and experience working with large-scale data warehouses like Snowflake or BigQuery.
- Solid understanding of deep learning frameworks such as PyTorch or TensorFlow.
- Exceptional problem-solving skills and the ability to thrive in an agile, fast-paced environment.