Job Description
Join Nexus Analytics at the forefront of data innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into strategic business solutions. In this pivotal role, you'll architect cutting-edge machine learning models, drive data-driven decision-making across departments, and mentor a high-performing analytics team. Our dynamic startup environment offers unparalleled opportunities to shape the future of predictive analytics while working with Fortune 500 clients in tech, finance, and healthcare.
Enjoy competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity. Located in San Francisco's vibrant SoMa district, you'll collaborate with industry leaders in our state-of-the-art innovation lab.
Responsibilities
- Design and implement advanced ML algorithms for predictive modeling and pattern recognition
- Lead end-to-end data science projects from hypothesis to production deployment
- Develop scalable ETL pipelines and optimize data infrastructure for real-time analytics
- Create compelling data visualizations and executive dashboards using Tableau/Power BI
- Collaborate with product teams to integrate AI features into core platforms
- Mentor junior data scientists and foster best practices in model governance
- Present findings to C-level stakeholders and drive data literacy initiatives
Qualifications
- PhD or Master's in Statistics, Computer Science, or related quantitative field
- 5+ years of applied data science experience in enterprise environments
- Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure)
- Proven track record deploying production ML models at scale
- Strong statistical modeling skills (regression, time series, NLP)
- Experience with A/B testing frameworks and causal inference
- Demonstrable ability to translate technical insights into business strategy
- Portfolio showcasing 3+ impactful data science projects