Job Description
Are you ready to shape the future of predictive modeling? Nexus Analytics AI is seeking a highly analytical Senior Data Scientist to join our elite engineering hub in San Francisco. You will leverage large-scale datasets to build cutting-edge algorithms that drive strategic decision-making for global enterprises.
We prioritize innovation, technical rigor, and cross-functional collaboration in a high-growth environment.
Responsibilities
- Design and deploy scalable machine learning models to solve complex business problems.
- Collaborate with product and engineering teams to integrate data-driven features into production.
- Perform deep-dive exploratory data analysis to uncover actionable insights.
- Develop automated pipelines for data ingestion, cleaning, and model training.
- Mentor junior data scientists and contribute to architectural best practices.
- Communicate findings through intuitive data visualizations and executive presentations.
- Continuously research and implement state-of-the-art statistical methodologies.
Qualifications
- M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning.
- Expert-level proficiency in Python and SQL; experience with PySpark or Scala is a plus.
- Strong background in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Proven ability to translate business requirements into technical data solutions.
- Experience with cloud infrastructure (AWS or GCP) and containerization (Docker/Kubernetes).
- Excellent verbal and written communication skills with the ability to influence stakeholders.