Job Description
Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to architect transformative solutions for Fortune 500 clients. In this pivotal role, you'll leverage cutting-edge machine learning techniques to solve complex business challenges across healthcare, fintech, and retail sectors. Collaborate with elite engineers and product strategists in our state-of-the-art downtown San Francisco headquarters, where your work directly impacts global market trends.
Responsibilities
- Design and implement end-to-end ML pipelines for predictive analytics and NLP applications
- Lead A/B testing frameworks and statistical analysis for product optimization
- Translate business requirements into robust data models with 95%+ accuracy
- Mentor junior scientists and present findings to executive stakeholders
- Develop real-time data processing solutions using Spark and Kafka
- Optimize cloud infrastructure for scalable data workflows (AWS/GCP)
Qualifications
- 5+ years in data science with proven track record of production ML models
- Expertise in Python, SQL, and at least one ML framework (TensorFlow/PyTorch)
- Advanced degree in Statistics, Computer Science, or related field
- Strong mathematical foundation in linear algebra, calculus, and probability
- Experience with data visualization tools (Tableau/Power BI) and cloud platforms
- Published research in peer-reviewed journals or conference proceedings