Job Description
Are you ready to transform complex datasets into actionable business intelligence? Nexus Analytics AI is seeking a visionary Senior Data Scientist to join our elite engineering team in the heart of San Francisco. In this role, you will lead the development of machine learning models that drive our core product strategy and user experience.
We value intellectual curiosity, rigorous quantitative analysis, and the ability to bridge the gap between technical complexity and executive decision-making. Join us in shaping the future of predictive modeling.
Responsibilities
- Develop, deploy, and maintain scalable machine learning models to solve high-impact business problems.
- Collaborate with cross-functional product and engineering teams to define data requirements and success metrics.
- Design and conduct A/B testing frameworks to measure product performance and user behavior.
- Perform deep-dive exploratory data analysis to uncover hidden trends and insights.
- Mentor junior data scientists and contribute to architectural decisions.
- Translate complex findings into intuitive visualizations and reports for stakeholders.
- Stay at the forefront of AI research to integrate innovative techniques into our workflow.
Qualifications
- Master's or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of industry experience in a data science or machine learning engineering role.
- Proficiency in Python or R with strong expertise in libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Extensive experience with SQL and handling large-scale data in cloud environments (AWS, GCP, or Azure).
- Proven track record of building and shipping production-level models.
- Strong understanding of statistical modeling, hypothesis testing, and experimental design.
- Excellent communication skills with the ability to articulate technical concepts to non-technical audiences.