Job Description
We are seeking a visionary Senior Data Scientist to architect the data infrastructure for our 2026 strategic roadmap. If you are passionate about predictive modeling and want to define the future of enterprise AI, this is your opportunity to lead high-impact initiatives. Join a team that is redefining industry standards and building the data backbone for the next decade.
Why Join Us?
- Work with state-of-the-art AI/ML technologies.
- Competitive compensation package and equity options.
- Hybrid work model in the heart of San Francisco.
Responsibilities
- Architect 2026 Strategy: Design and implement advanced machine learning models to support our long-term strategic vision and predictive analytics.
- Model Development: Lead the end-to-end data science lifecycle, from exploratory data analysis to model deployment and monitoring.
- Data Engineering: Collaborate with engineering teams to build scalable data pipelines and ensure data integrity.
- Stakeholder Communication: Translate complex technical findings into clear, actionable insights for executive leadership.
- Research & Innovation: Stay ahead of industry trends, specifically regarding Generative AI and Large Language Models (LLMs).
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in Data Science, Machine Learning, or AI Engineering.
- Technical Skills: Expert proficiency in Python (PyTorch/TensorFlow), SQL, and cloud platforms (AWS/GCP/Azure).
- Soft Skills: Exceptional problem-solving abilities and the capacity to lead cross-functional teams.
- Strategic Mindset: Demonstrated ability to align technical solutions with broader business objectives and 2026 goals.