Job Description
Are you ready to architect the future of decision intelligence? Nexus Analytics is seeking a visionary Senior Data Scientist to join our elite core team in San Francisco. You will leverage cutting-edge machine learning and predictive modeling to solve complex problems for global industry leaders.
We foster a culture of curiosity, rapid experimentation, and data-driven impact. If you thrive in an environment where your insights directly influence product strategy, we want to hear from you.
Responsibilities
- Architect and deploy production-grade machine learning models to solve high-stakes business challenges.
- Collaborate with engineering teams to integrate data pipelines and optimize model latency.
- Translate complex data insights into actionable strategic recommendations for executive leadership.
- Design rigorous A/B testing frameworks to validate product feature performance.
- Mentor junior data scientists and contribute to elevating the technical standards of the organization.
- Perform deep-dive exploratory data analysis to uncover hidden trends and operational efficiencies.
- Stay at the forefront of AI research by evaluating and implementing emerging neural network architectures.
Qualifications
- Master's or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a proven track record of deploying models to production.
- Expert-level proficiency in Python and SQL; familiarity with R is a plus.
- Deep understanding of machine learning frameworks (PyTorch, TensorFlow, or Scikit-Learn).
- Hands-on experience with cloud data platforms such as AWS (Redshift, Sagemaker) or GCP (BigQuery, Vertex AI).
- Strong proficiency in data visualization tools like Tableau, Looker, or Plotly.
- Exceptional problem-solving skills and the ability to articulate complex concepts to non-technical stakeholders.