Job Description
Are you ready to transform complex datasets into actionable business intelligence? Nexus Analytics Labs is seeking a visionary Senior Data Scientist to join our elite engineering team in San Francisco. You will leverage cutting-edge machine learning techniques to solve high-impact challenges and drive our product roadmap through rigorous data analysis.
We offer a collaborative, high-growth environment where innovation is the standard and your contributions directly impact millions of users globally.
Responsibilities
- Design and deploy scalable machine learning models to optimize user engagement.
- Collaborate with cross-functional product and engineering teams to define key performance metrics.
- Perform deep-dive exploratory data analysis to identify hidden patterns and growth opportunities.
- Develop automated dashboards and reporting frameworks for stakeholders.
- Mentor junior data scientists and promote best practices in model development.
- Champion data-driven decision-making across the organization.
- Evaluate and integrate new data technologies and tools to enhance our data stack.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum 5+ years of industry experience in data science or machine learning engineering.
- Expert-level proficiency in Python, SQL, and data visualization tools (Tableau, Looker).
- Extensive experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Proven track record of deploying models into production environments.
- Strong understanding of statistical modeling, hypothesis testing, and A/B testing methodologies.
- Excellent communication skills with the ability to translate complex data findings for non-technical stakeholders.