Job Description
Join Nexus Analytics as a Senior Data Scientist and transform complex data into actionable business intelligence. We're seeking a visionary leader to architect cutting-edge ML solutions that drive strategic decisions for Fortune 500 clients. Our dynamic team combines academic rigor with real-world impact, working on projects ranging from predictive maintenance to customer lifetime value optimization. Enjoy flexible work arrangements, continuous learning stipends, and the opportunity to present findings at international conferences.
What you'll love: Collaborative innovation sprints, hackathons with $10k prizes, and quarterly offsites in Napa Valley.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and optimization
- Lead A/B testing frameworks to quantify business impact of data-driven initiatives
- Develop real-time analytics dashboards using Python, SQL, and visualization tools
- Mentor junior data scientists through code reviews and technical workshops
- Translate complex findings into executive presentations with clear ROI narratives
- Research emerging NLP and deep learning techniques for product innovation
- Collaborate with engineering teams to deploy models into production environments
Qualifications
- 5+ years of experience in applied data science with proven impact in tech/retail
- Expertise in Python (scikit-learn, TensorFlow) and SQL with 1TB+ data handling
- Strong statistical background with experimental design proficiency
- Advanced degree in CS, Statistics, Mathematics, or related field
- Portfolio demonstrating 3+ ML projects with measurable business outcomes
- Experience with cloud platforms (AWS/GCP) and MLOps tools
- Excellent communication skills translating technical concepts to stakeholders