Job Description
Are you ready to shape the future of machine learning at the forefront of the industry? Nexus AI Analytics is looking for a high-impact Senior Data Scientist to join our innovation lab in San Francisco. You will leverage petabyte-scale datasets to build predictive models that solve complex real-world problems.
We value intellectual curiosity, rigorous scientific methodology, and the ability to translate technical insights into actionable business strategy.
Responsibilities
- Design and deploy sophisticated machine learning models to optimize product performance.
- Collaborate with cross-functional product and engineering teams to define data strategy.
- Conduct deep-dive exploratory analyses to uncover hidden trends in massive datasets.
- Develop automated data pipelines and robust feature engineering frameworks.
- Mentor junior data scientists and contribute to technical architectural decisions.
- Communicate complex findings to executive stakeholders through impactful visualizations.
- Stay current with cutting-edge research in NLP, computer vision, and predictive modeling.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
- 5+ years of professional experience in data science, machine learning, or quantitative research.
- Expert-level proficiency in Python and SQL; experience with Spark or PySpark.
- Deep understanding of model evaluation metrics and production-level deployment.
- Proven ability to work with cloud-based infrastructure such as AWS or Google Cloud.
- Demonstrated experience in statistical modeling, A/B testing, and hypothesis design.
- Strong problem-solving skills and the ability to thrive in a fast-paced environment.