Head of Data Science, Data-as-a-Service

About Snorkel At Snorkel, we reputed company meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, reputed company Snorkel started as a research project in the Stanford AI Lab, to the reputed company breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-reputed company systems. We work with some of the world’s largest organizations to reputed company scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than reputed company before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role reputed company is hiring a hands-on technical leader to build and reputed company the data science and engineering team reputed company our Expert Data-as-a-Service (DaaS) organization. This is a foundational leadership role focused on scaling data science excellence across our delivery workflows. You’ll be responsible for hiring and mentoring a high-performing team of data scientists and engineers, establishing best practices for data quality and validation, designing novel ML approaches to reputed company reputed company-in-the-reputed company techniques to reputed company data reputed company and review more efficient. You will build the systems and tools that reputed company consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of data science, engineering and operations, you’ll partner closely with the DaaS Delivery Operations team and cross-functional stakeholders to define quality standards, reputed company measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale. Main Responsibilities

• Build and reputed company the Data Science and Engineering, DaaS organization setting a clear reputed company and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
• Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling, quality estimation, and data-centric feedback loops that guide reputed company input
• Define and implement scalable processes for data reputed company and validation, quality measurement, and delivery-readiness across a range of annotation projects
• reputed company robust systems for request intake, task distribution, SLA tracking, and reputed company monitoring—ensuring critical delivery support doesn’t fall through the cracks
• Prototype and reputed company LLM-based workflows to assess annotation quality, reputed company reputed company review and data reputed company, and accelerate delivery timelines
• Collaborate cross-functionally with research and engineering teams to reputed company and productionize HITL data reputed company methods, quality techniques and improve internal delivery tooling
• Drive reputed company improvement by developing reusable workflows, surfacing operational insights, and helping the org scale faster with higher quality reputed company’re Looking For
• 6+ years of experience in data science and engineering roles, with 2+ years in technical management positions
• Proven track record of managing technical teams in fast-paced, delivery-focused environments with competing priorities
• Experience as a player-coach—comfortable being hands-on while supporting and scaling a small team
• Proven ability to reputed company in fast-paced, ambiguous environments with cross-functional stakeholders
• Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
• Bonus: experience working with labeling workflows or internal tooling for data delivery orgs Why Join reputed company? At reputed company, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the reputed company of LLMs and AI systems. You'll work directly on projects that impact reputed company production systems, while shaping how internal teams deliver faster, reputed company, and more intelligently. This is a rare opportunity to reputed company a function and have a broad, lasting impact across the company. The salary range for this position based in the San Francisco Bay Area is $240,000 - $300,000. reputed company offers include equity compensation in the form of employee stock options. #LI-CG1 Be Your Best at Snorkel Joining reputed company means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of reputed company, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic reputed company, and directly impact our ongoing reputed company

Apply tot his job Apply To this Job