Job Description
Join Nexus Analytics, a cutting-edge AI innovator, as we revolutionize predictive analytics for Fortune 500 clients. Our data science team drives strategic decisions through machine learning and big data solutions. You'll architect scalable models that transform raw data into actionable business insights, directly impacting global industries. We offer competitive equity packages, flexible work arrangements, and a culture that champions intellectual curiosity.
Located in the heart of San Francisco's tech corridor, our state-of-the-art workspace fosters collaboration with engineers, product managers, and executives. We invest in your growth through annual learning stipends and conference sponsorships.
Responsibilities
- Develop and deploy predictive models using Python, TensorFlow, and PyTorch
- Analyze terabyte-scale datasets using SQL, Spark, and cloud data warehouses
- Translate complex business problems into data-driven solutions
- Collaborate with cross-functional teams to implement ML pipelines
- Present findings to C-suite executives through compelling data visualizations
- Lead A/B testing frameworks for product optimization
- Mentor junior data scientists on best practices
Qualifications
- 5+ years of data science experience with proven ML deployment
- Expertise in statistical modeling and experimental design
- Proficiency in Python, R, SQL, and cloud platforms (AWS/GCP)
- Strong communication skills translating technical concepts
- PhD or Master's in Statistics, Computer Science, or related field
- Portfolio showcasing end-to-end data science projects
- Experience with productionizing models at scale