Job Description
Are you a data-driven visionary ready to shape the future of predictive intelligence? Nexus AI is looking for a Senior Data Scientist to join our high-impact team in San Francisco. You will leverage massive datasets to solve complex business challenges, build advanced machine learning models, and drive strategic decision-making across the organization.
We offer a collaborative, remote-friendly environment, top-tier benefits, and the opportunity to work on bleeding-edge tech that influences global industry trends.
Responsibilities
- Design, develop, and deploy scalable machine learning models to solve high-value business problems.
- Collaborate with cross-functional product and engineering teams to integrate data science solutions into production.
- Perform deep-dive exploratory data analysis to uncover hidden trends and actionable business insights.
- Establish best practices for data science workflows, model monitoring, and automated pipelines.
- Mentor junior data scientists and contribute to a culture of technical excellence and peer review.
- Communicate complex data-driven findings to executive stakeholders through intuitive dashboards and presentations.
- Evaluate and implement emerging AI technologies to maintain a competitive technical edge.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning engineering.
- Expert-level proficiency in Python and SQL; experience with PySpark or Scala is a plus.
- Strong understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proven track record of deploying models into production environments (AWS, GCP, or Azure).
- Experience with cloud-based data warehouses like Snowflake, BigQuery, or Redshift.
- Excellent communication skills with the ability to translate technical concepts for non-technical audiences.