Job Description
Are you ready to redefine the future of predictive intelligence? Nexus Analytics AI is seeking a visionary Senior Data Scientist to join our high-impact core team in San Francisco. You will leverage petabyte-scale datasets to build cutting-edge machine learning models that drive our product roadmap and deliver actionable insights for global enterprises.
We foster a culture of rigorous scientific inquiry, radical transparency, and rapid deployment. If you are passionate about transforming complex data into scalable AI solutions, we want to hear from you.
Responsibilities
- Design, develop, and deploy scalable machine learning models to solve complex business challenges.
- Collaborate with cross-functional engineering teams to integrate AI models into production environments.
- Conduct exploratory data analysis to identify trends, patterns, and untapped opportunities.
- Develop robust ETL pipelines to ensure data integrity and real-time accessibility.
- Mentor junior data scientists and contribute to a culture of technical excellence.
- Present data-driven strategic recommendations to senior leadership to influence business decisions.
- Optimize existing algorithms for latency, throughput, and predictive accuracy.
Qualifications
- M.S. or Ph.D. 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, SQL, and deep learning frameworks (PyTorch or TensorFlow).
- Deep understanding of cloud-native deployment environments (AWS, GCP, or Azure).
- Proven track record of deploying end-to-end models into production.
- Expertise in experimental design, A/B testing, and hypothesis generation.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.