Job Description
Are you ready to shape the future of Artificial Intelligence? Nexus Data Solutions is seeking a world-class Senior Data Scientist to lead our analytics initiatives in the heart of San Francisco. In this pivotal role, you will transform complex datasets into actionable business intelligence, driving growth for Fortune 500 clients.
Our culture thrives on innovation, collaboration, and technical excellence. You will work alongside top-tier engineers and product leaders to build scalable machine learning models that solve real-world problems.
Responsibilities
- Design, develop, and deploy scalable machine learning models and statistical algorithms.
- Analyze large, complex datasets to uncover actionable insights and trends.
- Collaborate cross-functionally with engineering, product, and design teams to define data requirements.
- Optimize data pipelines and infrastructure for maximum efficiency and performance.
- Mentor junior data scientists and conduct code reviews to maintain high engineering standards.
- Communicate technical findings and model performance to non-technical stakeholders effectively.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or statistical modeling.
- Strong proficiency in programming languages such as Python, R, or Scala.
- Expert knowledge of SQL and experience with data warehousing technologies (e.g., Snowflake, BigQuery).
- Deep understanding of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.