Job Description
At Nexus Analytics AI, we are building the next generation of predictive intelligence platforms. We are seeking a visionary Senior Data Scientist to join our elite team in San Francisco. You will leverage large-scale datasets to drive product strategy and build automated machine learning models that impact millions of users globally.
This role offers an unparalleled opportunity to work at the intersection of deep learning and real-world business optimization in a collaborative, high-growth environment.
Responsibilities
- Develop and deploy production-grade machine learning models to solve complex business challenges.
- Collaborate with cross-functional product and engineering teams to identify high-impact data opportunities.
- Perform deep-dive exploratory analysis to uncover actionable insights from unstructured datasets.
- Design and implement robust A/B testing frameworks to validate model performance and user impact.
- Mentor junior data scientists and contribute to the technical excellence of the data department.
- Communicate findings and strategic recommendations to executive leadership through compelling data storytelling.
- Optimize existing algorithms for latency and scalability in a distributed computing environment.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, analytics, or machine learning.
- Proficiency in Python or R with strong expertise in libraries such as PyTorch, TensorFlow, or Scikit-Learn.
- Advanced SQL skills and extensive experience working with cloud-based data warehouses (Snowflake, BigQuery, or Redshift).
- Proven track record of deploying machine learning models into production environments.
- Solid understanding of statistical modeling, experimental design, and causal inference.
- Exceptional problem-solving abilities and a self-starter mindset with the ability to navigate ambiguity.