Job Description
Are you ready to architect the future of decision intelligence? Nexus Analytics AI is seeking a Senior Data Scientist to join our high-impact team in San Francisco. You will lead the development of cutting-edge machine learning models that process complex datasets to drive strategic business outcomes for global enterprises.
We are a mission-driven team obsessed with clean code, scalable architecture, and tangible ROI. If you thrive in a fast-paced environment and possess a passion for turning raw data into actionable intelligence, we want to hear from you.
Responsibilities
- Architect and deploy production-grade machine learning models to solve complex business problems.
- Collaborate with cross-functional product and engineering teams to identify opportunities for data-driven optimization.
- Conduct advanced exploratory data analysis to uncover hidden patterns and trends within multi-petabyte datasets.
- Mentor junior data scientists and contribute to the evolution of our internal data science best practices.
- Design and maintain automated pipelines to improve model training efficiency and data quality.
- Translate technical findings into executive-level presentations that drive organizational strategy.
- Stay at the forefront of AI research and apply innovative methodologies to existing product stacks.
Qualifications
- Master’s degree 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.
- Expert-level proficiency in Python and SQL; experience with R is a significant plus.
- Deep understanding of machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proven track record of deploying models into production environments (AWS, GCP, or Azure).
- Experience with big data technologies such as Spark, Kafka, or Snowflake.
- Strong communication skills with the ability to bridge the gap between technical rigor and business strategy.