Job Description
Are you ready to shape the future of machine learning? Nexus AI Analytics is looking for a Senior Data Scientist to join our high-impact team in San Francisco. You will bridge the gap between complex raw data and strategic business decisions, working on state-of-the-art predictive models that power our global platforms.
We value intellectual curiosity, clean code, and the ability to communicate complex insights to non-technical stakeholders.
Responsibilities
- Design and deploy scalable machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to integrate data-driven insights into product features.
- Perform deep-dive exploratory data analysis to uncover hidden trends and opportunities.
- Maintain and optimize production-grade data pipelines for model training and inference.
- Mentor junior data scientists and contribute to best practices in model development.
- Design A/B testing frameworks to validate hypotheses and measure performance.
- Present technical findings to executive leadership to influence corporate strategy.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning.
- Proficiency in Python and deep expertise in libraries like Scikit-Learn, PyTorch, or TensorFlow.
- Advanced knowledge of SQL and experience with cloud-based data warehouses (e.g., Snowflake, BigQuery).
- Proven experience deploying machine learning models into production environments.
- Strong background in statistical modeling, experimental design, and causal inference.
- Excellent communication skills with the ability to articulate complex concepts clearly.