Job Description
Are you ready to transform massive datasets into strategic intelligence? At Nexus Analytics Group, we are pushing the boundaries of predictive modeling and machine learning to solve complex business challenges. We are looking for an innovative Senior Data Scientist to join our high-impact team in San Francisco.
You will work on cross-functional projects, designing end-to-end data products that influence high-level decision-making for our Fortune 500 clients. If you thrive in a fast-paced environment and possess a passion for uncovering hidden trends, we want to hear from you.
Responsibilities
- Develop and deploy advanced machine learning models to solve complex business problems.
- Translate technical findings into actionable insights for non-technical stakeholders.
- Collaborate with data engineering teams to architect scalable data pipelines.
- Conduct exploratory data analysis to identify opportunities for model optimization.
- Mentor junior data scientists and contribute to code reviews and technical standards.
- A/B test experimental designs to validate product enhancements.
- Manage end-to-end lifecycles of data projects from hypothesis generation to production deployment.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
- 5+ years of professional experience in data science or quantitative analysis.
- Expert proficiency in Python or R and SQL.
- Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with cloud computing platforms such as AWS, GCP, or Azure.
- Strong expertise in data visualization tools like Tableau, PowerBI, or Looker.
- Excellent communication skills with the ability to influence cross-functional teams.