Job Description
Are you ready to shape the future of predictive intelligence? Nexus AI Analytics is looking for a visionary Senior Data Scientist to join our elite engineering team in San Francisco. You will leverage large-scale datasets to build sophisticated machine learning models that drive product innovation and operational excellence.
We offer a collaborative, cutting-edge environment where your insights directly influence strategic decision-making and product roadmaps.
Responsibilities
- Design and implement end-to-end machine learning pipelines to solve complex business problems.
- Collaborate with cross-functional stakeholders to define metrics, KPIs, and data-driven project goals.
- Perform deep-dive exploratory data analysis to uncover hidden trends and actionable insights.
- Develop and deploy scalable predictive models in a cloud-native production environment.
- Mentor junior data scientists and contribute to code reviews to uphold engineering excellence.
- Translate complex technical findings into clear, impactful visual narratives for executive leadership.
- Stay at the forefront of AI research and integrate innovative methodologies into our stack.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of industry experience in a Data Science or Machine Learning Engineering role.
- Advanced proficiency in Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn).
- Deep understanding of deep learning frameworks like TensorFlow or PyTorch.
- Proven track record of deploying models into production environments (AWS, GCP, or Azure).
- Strong knowledge of statistical modeling, hypothesis testing, and experimental design.
- Exceptional communication skills with the ability to articulate complex concepts to non-technical partners.