Job Description
Are you ready to redefine the future of predictive intelligence? Nexus Analytics Labs is seeking a Senior Data Scientist to join our elite core team in San Francisco. You will lead high-impact initiatives, bridging the gap between raw unstructured data and actionable product strategy. Work with cutting-edge LLMs and proprietary datasets in a fast-paced, high-growth environment.
Responsibilities
- Develop and deploy scalable machine learning models to solve complex business challenges.
- Collaborate with cross-functional product and engineering teams to identify growth opportunities.
- Architect data pipelines and design A/B testing frameworks for rapid experimentation.
- Mentor junior data scientists and advocate for best-in-class data hygiene and code standards.
- Present data-driven insights to executive stakeholders to influence company-wide strategy.
- Optimize existing algorithms for performance, latency, and predictive accuracy.
- Stay at the forefront of AI research to integrate new techniques into our product ecosystem.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, predictive modeling, or machine learning engineering.
- Expertise in Python, SQL, and deep learning frameworks like PyTorch or TensorFlow.
- Proven ability to manage large-scale data environments using AWS or GCP.
- Deep understanding of statistical modeling, hypothesis testing, and causal inference.
- Experience with distributed computing tools like Apache Spark or Ray.
- Strong communication skills with a track record of translating technical concepts to non-technical audiences.