Job Description
Are you a data-driven visionary ready to shape the future of machine learning? Nexus Analytics Labs is seeking a Senior Data Scientist to join our elite engineering team in the heart of San Francisco. You will leverage petabyte-scale datasets to build predictive models that solve complex real-world business challenges and drive product innovation.
We offer a collaborative culture, cutting-edge tech stack, and the autonomy to own projects from conception to production deployment.
Responsibilities
- Design and implement advanced machine learning models to solve business problems.
- Collaborate with product managers and engineers to translate business needs into technical solutions.
- Lead the end-to-end lifecycle of data products, including data cleaning, feature engineering, and model deployment.
- Conduct exploratory data analysis to uncover actionable insights for executive stakeholders.
- Mentor junior data scientists and contribute to technical code reviews.
- Optimize existing algorithms for improved accuracy, latency, and scalability.
- Develop robust MLOps pipelines using modern cloud infrastructure.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science or machine learning roles.
- Advanced proficiency in Python, SQL, and deep learning frameworks (PyTorch or TensorFlow).
- Deep understanding of statistical modeling, experimental design, and A/B testing.
- Proven expertise in deploying scalable models into production environments.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Proficiency with cloud platforms like AWS, GCP, or Azure.