Job Description
Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this high-impact role, you'll collaborate with cross-functional teams to architect cutting-edge ML solutions that drive measurable growth. Our dynamic startup environment offers unparalleled opportunities to shape AI ethics frameworks while solving real-world challenges in healthcare, finance, and climate science. Enjoy competitive equity packages, flexible remote options, and access to state-of-the-art cloud infrastructure.
Responsibilities
- Design and implement scalable machine learning pipelines using Python and Spark
- Lead A/B testing frameworks for product optimization across 1M+ user segments
- Develop predictive models with 95%+ accuracy for customer lifetime value forecasting
- Present data narratives to C-suite executives using Tableau and D3.js visualizations
- Mentor junior scientists in statistical rigor and reproducible research practices
- Drive innovation in MLOps pipeline deployment on AWS/GCP platforms
Qualifications
- MS/PhD in Statistics, Computer Science, or quantitative field with 5+ years experience
- Expertise in scikit-learn, TensorFlow, and distributed computing frameworks
- Proven track record of deploying production ML systems handling TB-scale data
- Strong statistical foundation in Bayesian inference and experimental design
- Experience with cloud-native data ecosystems (BigQuery, Redshift, Sagemaker)
- Publication record at NeurIPS/ICML or equivalent industry impact
- Exceptional communication skills translating technical concepts to stakeholders