Job Description
Are you ready to shape the future of machine learning? Nexus AI is seeking a visionary Senior Data Scientist to join our elite core team in San Francisco. You will leverage large-scale data architecture to solve complex business problems, driving innovation through advanced predictive modeling and high-impact data storytelling.
We offer a collaborative, growth-focused environment where your technical insights will directly influence our product strategy and global market positioning.
Responsibilities
- Develop and deploy scalable machine learning models to solve high-value business challenges.
- Collaborate with cross-functional engineering teams to integrate AI models into production environments.
- Perform deep-dive exploratory data analysis to uncover hidden trends and actionable insights.
- Mentor junior data scientists and champion best practices in MLOps and experiment design.
- Present data-driven recommendations to executive leadership to inform strategic decision-making.
- Optimize existing data pipelines and feature engineering processes for improved model performance.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or advanced analytics.
- Expert proficiency in Python or R, with strong expertise in libraries such as PyTorch, TensorFlow, or Scikit-Learn.
- Extensive experience working with large-scale distributed datasets (Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying models into production environments using CI/CD methodologies.
- Advanced SQL skills and experience managing NoSQL and relational database systems.
- Exceptional verbal and written communication skills with the ability to explain complex technical concepts to stakeholders.