Job Description
Are you a visionary data expert ready to transform raw information into strategic business growth? Join Nexus Analytics Labs in the heart of San Francisco. We are scaling our AI initiatives and looking for a high-impact Senior Data Scientist to architect predictive models that define the future of our industry.
We offer a collaborative, remote-friendly environment, top-tier benefits, and the chance to work with bleeding-edge stack architectures. If you thrive on complexity and solving high-stakes problems, we want to hear from you.
Responsibilities
- Design, build, and deploy machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to integrate data-driven insights into product roadmaps.
- Perform deep-dive exploratory data analysis to uncover trends, anomalies, and opportunities.
- Mentor junior data scientists and advocate for best practices in code quality and model validation.
- Define KPIs and develop automated dashboards to track product performance metrics.
- Scale experimental models into high-availability production environments.
- Champion a data-first culture throughout the organization.
Qualifications
- Master’s or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or statistical modeling.
- Expert proficiency in Python (Pandas, Scikit-Learn, PyTorch/TensorFlow).
- Advanced SQL skills with experience in designing efficient queries for large-scale data warehouses.
- Experience with cloud computing platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.
- Proven track record of deploying models into production environments that drive measurable ROI.