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 pivotal role, you'll architect advanced ML solutions, lead high-impact analytics projects, and influence product development through data storytelling. Our collaborative culture combines cutting-edge technology with real-world applications, offering unparalleled growth opportunities in the heart of Silicon Valley.
Why Nexus Analytics? We empower our team with state-of-the-art tools, flexible work arrangements, and industry-leading benefits including equity participation. Your expertise will directly shape our AI roadmap and drive measurable business outcomes across global markets.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics and business intelligence
- Lead A/B testing frameworks and statistical analysis to optimize product features
- Develop scalable data models using Python, SQL, and cloud platforms (AWS/GCP)
- Collaborate with engineering teams to deploy ML models into production environments
- Create executive-level data visualizations and narrative-driven insights
- Mentor junior analysts and establish best practices for data governance
- Drive innovation through research on emerging AI/ML methodologies
Qualifications
- Master's or PhD in Data Science, Statistics, Computer Science, or quantitative field
- 5+ years of professional experience in data science or analytics roles
- Expertise in Python (Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL
- Strong statistical modeling background with experimental design skills
- Experience with cloud data platforms (BigQuery, Redshift, Snowflake)
- Proven track record of translating technical insights into business impact
- Excellent communication skills with executive stakeholders
- Portfolio demonstrating complex data projects and visualizations