Job Description
Are you a visionary Data Scientist looking to make a significant impact?
Nexus Analytics is at the forefront of AI innovation, and we are seeking a Senior Data Scientist to join our elite R&D team in San Francisco. You will own the development of machine learning models that power our core product suite, transforming complex datasets into actionable business intelligence.
We offer a competitive salary, comprehensive benefits, and the opportunity to work with cutting-edge technologies in a collaborative, hybrid work culture.
Responsibilities
- Design, develop, and deploy scalable machine learning and deep learning models for prediction and classification tasks.
- Perform exploratory data analysis (EDA) to uncover hidden patterns and drive strategic decision-making.
- Collaborate closely with cross-functional teams of engineers, product managers, and domain experts to define technical requirements.
- Optimize data pipelines and infrastructure to ensure high performance and low latency in production environments.
- Communicate complex technical findings and model performance metrics to non-technical stakeholders in a clear, concise manner.
- Stay abreast of the latest research in artificial intelligence and implement best practices in code quality and MLOps.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 4 years of professional experience in data science, machine learning, or a related role.
- Expert proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
- Strong experience with big data technologies (e.g., Spark, Hadoop, or cloud data warehouses).
- Deep understanding of statistical modeling, A/B testing, and experimental design.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.