Job Description
Join Nexus Analytics as a Senior Data Scientist and drive transformative insights that shape the future of AI-driven decision-making. We're seeking a visionary expert to architect cutting-edge solutions for Fortune 500 clients, leveraging our proprietary data ecosystem to solve complex business challenges. In this pivotal role, you'll collaborate with cross-functional teams to translate unstructured data into actionable strategies, directly impacting product innovation and market leadership.
Our culture celebrates intellectual curiosity and rapid experimentation, with access to petabyte-scale datasets and state-of-the-art infrastructure. Enjoy competitive benefits including unlimited PTO, comprehensive health coverage, and dedicated learning stipends for conferences and certifications.
Responsibilities
- Design and implement advanced ML algorithms to optimize predictive models for customer behavior forecasting
- Lead end-to-end data science projects from hypothesis testing to production deployment
- Develop scalable data pipelines using Apache Spark and cloud-based solutions
- Present findings to C-suite executives through compelling data visualizations and narratives
- Mentor junior data scientists and establish best practices for model validation
- Drive A/B testing frameworks to measure impact of data-driven initiatives
Qualifications
- Master's or PhD in Statistics, Computer Science, or quantitative field with 5+ years experience
- Expert proficiency in Python (scikit-learn, TensorFlow/PyTorch) and SQL
- Proven track record deploying production ML systems at scale
- Strong foundation in experimental design and causal inference
- Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
- Exceptional communication skills translating technical concepts to stakeholders