Staff Data Scientist I — Applied Research (Production)
About This Role: As a Staff Data Scientist I, you are a technical titan and a strategic force multiplier. You don't just solve problems; you anticipate them before they hit the roadmap. This role is for a visionary who can lead high-impact, cross-functional initiatives and provide the architectural guidance that keeps our entire department ahead of the curve. With a mindset of Extreme Ownership, you’ll bridge the gap between profound technical expertise and material business impact, serving as a role model for the engineering organization and a trusted partner to executive leadership.
What You Bring:
Advanced Cloud & Infrastructure: Profound experience with AWS and SageMaker, specifically in architecting cost-effective systems that perform at scale.Domain Fluency: Deep familiarity with services in adjacent domains and proficiency in end-to-end development across monoliths and serverless environments.AI Leadership: Ability to influence the selection and adoption of AI development tools and develop standards for validating AI-generated code.Technical Guidance: Expertise in guiding others through complex research plans, experimental designs, and advanced model implementations.Strategic Tooling: Mastery of Python and a track record of making the "final call" on technology choices that affect the multi-team roadmap.Operational Wisdom: Experience leading cost-benefit analyses for large technical initiatives and optimizing for Total Cost of Ownership (TCO).
Physical Requirements:
Stationary Position: Ability to remain in a stationary position, often standing or sitting for prolonged periods.Data Entry: Repetitive finger motion to press keys and enter text or data into a computer by means of a keyboard.Visual Clarity: Clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including use of computer terminals and multiple monitors.Auditory Communication: Ability to hear, understand, and distinguish speech and other sounds (e.g., in-person speech, teleconferences, etc.).
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Join Habitat Energy's Austin team as an MLOps Engineer to productionize and scale mission-critical forecasting and optimization models that power energy trading and analytics.
Thrad seeks an Applied Scientist to design, train, and productionize real-time contextual ad relevance and bidding models for LLM conversations at its San Francisco HQ.
Thrad seeks a hands-on Data Scientist to drive product and commercial decisions through rigorous causal analysis, experimentation, and analytics at its San Francisco HQ.
Pravah seeks an ML Summer Intern to work on cutting-edge forecasting, computer vision, and graph ML problems that support real-world electric grid deployments.
Lead the measurement, experimentation, and data architecture for HingeSelect as the first dedicated Staff Product Data Scientist driving causal analysis, funnel optimization, and supply-demand modeling.
Lead Bugcrowd’s AI & Data Science team to design and operationalize scalable ML systems and generative AI solutions that power next-generation preemptive cybersecurity products.
Visa is hiring a Staff Applied Scientist II to lead AI-driven data science and engineering workstreams on the Acceptance Platform, building scalable, secure ML solutions for global payments.
NBCUniversal seeks part-time Academic Year Data Science & Analytics interns to support decision sciences and sports content analytics at its Stamford, CT hub.
Superhuman is hiring Data Scientists in San Francisco to lead experimentation, causal inference, and ML-driven analyses that influence product and growth decisions.
Lead the development of an AI Agent platform and production ML systems at Superhuman, driving orchestration, LLM integration, and proactive product experiences.
NBCUniversal is seeking an Advertising & Partnerships Data Science Academic Year intern to apply analytics, modeling, and AI/ML to real-world ad tech problems across its advertising product ecosystem.
Apply state-of-the-art AI to financial workflows at Rowspace by building retrieval systems, agentic pipelines, and evaluation frameworks that turn unstructured data into actionable investment insights.
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
