Job Description
Are you ready to redefine the future of machine learning? Nexus AI Analytics is seeking a visionary Senior Data Scientist to join our high-impact team in San Francisco. You will lead the development of cutting-edge predictive models, optimize our data infrastructure, and translate complex technical insights into high-stakes business strategies.
We foster a culture of curiosity and rigorous engineering, providing the tools and autonomy you need to solve the world's most complex data challenges.
Responsibilities
- Design, develop, and deploy scalable machine learning models to solve business-critical problems.
- Lead cross-functional initiatives to improve data quality and pipeline efficiency.
- Conduct exploratory data analysis to uncover hidden trends and actionable growth opportunities.
- Mentor junior team members and foster a collaborative environment of technical excellence.
- Partner with product managers to define data-driven roadmaps and key performance indicators.
- Communicate complex findings to executive leadership through compelling visualizations and reports.
- Maintain and optimize production-grade model monitoring and retraining pipelines.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or advanced analytics.
- Expert-level proficiency in Python and SQL; experience with R is a plus.
- Deep understanding of machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proven experience with cloud platforms such as AWS, GCP, or Azure.
- Strong background in statistical modeling, experimental design, and A/B testing.
- Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.