Job Description
Are you ready to shape the future of machine learning? At Nexus AI Analytics, we build intelligent systems that solve complex, real-world problems for global enterprises. We are seeking a highly skilled Senior Data Scientist to join our elite engineering team in the heart of San Francisco.
You will play a pivotal role in designing scalable predictive models, driving strategic business decisions through data, and mentoring junior researchers. If you are passionate about statistical rigor, cutting-edge AI, and shipping production-grade code, we want to hear from you.
Responsibilities
- Develop, deploy, and maintain advanced machine learning models and algorithms.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Perform deep-dive exploratory data analysis to uncover hidden patterns and growth opportunities.
- Implement MLOps best practices to ensure model scalability and performance in production environments.
- Architect robust data pipelines using cloud-native technologies (AWS/GCP).
- Present actionable insights and technical findings to C-suite stakeholders.
- Mentor and guide team members on best practices in data science and software engineering.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning.
- Expert-level proficiency in Python and SQL; familiarity with R is a plus.
- Deep understanding of machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
- Proven experience working with big data tools (e.g., Spark, Hadoop, Databricks).
- Strong background in statistical analysis, experimental design, and A/B testing.
- Excellent communication skills with the ability to explain complex concepts to non-technical audiences.