Job Description
Are you ready to redefine the future of predictive intelligence? Nexus Analytics AI is seeking a visionary Senior Data Scientist to join our high-impact core team in San Francisco. You will leverage petabyte-scale datasets to build cutting-edge machine learning models that drive product innovation and solve complex architectural challenges for global industry leaders.
We offer a dynamic, hybrid work environment that encourages bold experimentation, cross-functional collaboration, and continuous professional growth.
Responsibilities
- Design, develop, and deploy scalable machine learning models and statistical frameworks to address complex business objectives.
- Collaborate with cross-functional product and engineering teams to integrate data-driven insights into core production workflows.
- Conduct deep-dive exploratory data analysis (EDA) to uncover actionable business opportunities and hidden trends.
- Architect robust data pipelines and automate feature engineering processes using cloud-native technologies.
- Provide technical mentorship to junior data scientists and contribute to maintaining high standards for code quality and experimentation.
- Present complex analytical findings to executive stakeholders through intuitive visualizations and compelling data storytelling.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, machine learning, or quantitative research roles.
- Advanced proficiency in Python, SQL, and industry-standard machine learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proven expertise in distributed computing frameworks such as Apache Spark or Dask.
- Demonstrated experience building end-to-end ML solutions in production cloud environments (AWS, GCP, or Azure).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.