Job Description
Are you ready to define the future of data intelligence? Nexus Analytics is seeking a visionary Senior Data Scientist Lead to join our elite technology team in San Francisco.
In this pivotal role, you will bridge the gap between complex statistical modeling and real-world business solutions. We pride ourselves on a culture of innovation, where your insights directly influence product strategy and operational efficiency. If you thrive in a fast-paced, high-impact environment and want to mentor the next generation of data experts, we want to hear from you.
Responsibilities
- Architect and deploy scalable machine learning models to drive business growth.
- Lead a cross-functional team of data scientists and engineers in end-to-end project lifecycles.
- Translate raw data into actionable business intelligence for executive stakeholders.
- Optimize existing algorithms and data pipelines for maximum performance and accuracy.
- Collaborate closely with product managers to define data requirements and feature sets.
- Conduct rigorous A/B testing and statistical analysis to validate hypotheses.
- Establish best practices for data governance, documentation, and model deployment.
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 analysis.
- Expert proficiency in Python (Pandas, NumPy, Scikit-Learn) and SQL.
- Strong experience with deep learning frameworks such as TensorFlow or PyTorch.
- Proven track record of deploying production-grade ML systems.
- Exceptional communication skills with the ability to explain complex technical concepts to non-technical audiences.
- Experience with cloud platforms (AWS, GCP, or Azure) is highly preferred.