Job Description
Are you passionate about building intelligent systems that scale? Nexus AI Systems is seeking a Senior Data Scientist to join our elite engineering team in San Francisco. You will leverage cutting-edge machine learning techniques to solve complex business challenges and drive product innovation that impacts millions of users globally.
We offer a collaborative culture, top-tier compensation, and the opportunity to work with vast datasets in a high-growth environment.
Responsibilities
- Architect and deploy production-grade machine learning models to solve business-critical problems.
- Lead end-to-end data science projects from requirements gathering to model validation.
- Collaborate with cross-functional product and engineering teams to integrate predictive analytics into user-facing features.
- Perform deep-dive exploratory data analysis to uncover trends and actionable business insights.
- Mentor junior team members and foster a culture of technical excellence and continuous learning.
- Develop robust MLOps pipelines to monitor and optimize model performance in real-time environments.
Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in predictive modeling, machine learning, or advanced statistical analysis.
- Advanced proficiency in Python and deep familiarity with PyTorch, TensorFlow, or Scikit-Learn.
- Extensive experience working with distributed computing frameworks like Apache Spark or Dask.
- Strong SQL expertise and experience managing large-scale data warehouses (Snowflake, BigQuery, or Redshift).
- Solid understanding of CI/CD principles and containerization technologies (Docker, Kubernetes).
- Proven ability to communicate complex technical concepts to non-technical stakeholders effectively.