Job Description
Are you ready to shape the future of machine learning? Nexus AI Analytics is looking for a Senior Data Scientist to join our high-impact team in San Francisco. You will leverage cutting-edge predictive modeling and deep learning techniques to drive product strategy and solve complex business problems at scale.
We offer a collaborative environment, top-tier compensation, and the opportunity to work with vast datasets that directly influence our global platform.
Responsibilities
- Develop, test, and deploy sophisticated machine learning models to solve high-impact business challenges.
- Collaborate with cross-functional product and engineering teams to integrate data-driven insights into the core product.
- Design and conduct A/B tests to optimize user engagement and platform efficiency.
- Translate complex data findings into actionable strategic recommendations for executive leadership.
- Mentor junior data scientists and foster a culture of technical excellence and continuous learning.
- Build and maintain scalable data pipelines and automated data quality monitoring tools.
- Stay at the forefront of AI research to identify and implement emerging technologies.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning.
- Expert-level proficiency in Python and SQL; experience with PyTorch, TensorFlow, or Scikit-Learn.
- Hands-on experience with cloud infrastructure (AWS/GCP) and distributed computing frameworks (Spark, Dask).
- Proven ability to communicate complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and a passion for data-driven decision making.
- Experience with MLOps best practices and model deployment in production environments.