Job Description
Are you ready to redefine the future of predictive intelligence? Nexus Analytics Labs is seeking a visionary Senior Data Scientist to spearhead our machine learning initiatives. Join a world-class team solving complex, real-world problems in the heart of San Francisco.
We value intellectual curiosity, rigorous experimentation, and the ability to turn chaotic datasets into actionable product strategies. If you thrive in a fast-paced environment where your models directly impact millions of users, we want to hear from you.
Responsibilities
- Design, develop, and deploy advanced machine learning models to solve complex business problems.
- Lead cross-functional projects to integrate data-driven insights into product roadmaps.
- Conduct end-to-end exploratory data analysis to identify hidden patterns and growth opportunities.
- Mentor junior data scientists and establish best practices for code quality and model reproducibility.
- Optimize production-grade pipelines to improve latency and scalability of inference engines.
- Collaborate with engineering teams to bridge the gap between experimental research and production deployment.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or statistical modeling.
- Proficiency in Python and advanced SQL; expertise in libraries like PyTorch, TensorFlow, or Scikit-Learn.
- Proven track record of deploying models into production environments (AWS/GCP/Azure).
- Strong understanding of experimental design, A/B testing, and causal inference.
- Exceptional storytelling abilities to communicate technical insights to non-technical stakeholders.