Staff Forward Deployed Data Scientist/Engineer At Scale AI, we accelerate the development of artificial intelligence by providing essential data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the data solutions that solve our customers' most complex challenges. This role suits a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and applies rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME’s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will shape how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations across telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities Drive Impact: Contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with technical customers, understanding their challenges and translating business problems into data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the data lifecycle—from data ingestion and pipelines to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating to validate hypotheses and drive innovation. Strategic Influence: Represent the customer perspective to internal Product, Engineering, and Data Science teams, informing product roadmap and technical strategy. Diverse Projects: Work on a dynamic mix of data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: Opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career toward leadership in a technology-forward company. Requirements 8+ years of relevant industry experience in analytical roles (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to translate abstract business ideas into data science and engineering solutions. Expert-level coding in Python for data science (Pandas, NumPy, Scikit-learn) and mastery of SQL across large datasets. Effective communication of complex technical concepts to technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt to the evolving Generative AI landscape. Willing to work in a hybrid setup in San Francisco or New York City. Preferred Qualifications Experience in client-facing or consultative roles (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data issues, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (AWS, GCP, Snowflake, BigQuery). Compensation and Location Compensation packages include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco, New York, and Seattle is $208,000 - $260,000 USD. Details on location and equity are discussed with the recruiter during the hiring process. Our policy requires a 90-day waiting period before reconsidering candidates for the same role to ensure a fair evaluation of all applicants. About Us and Equal Opportunity Scale AI develops reliable AI systems for the world’s most important decisions. We are an inclusive, equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability status, veteran status, or other protected statuses. We provide reasonable accommodations in the application process. If you need assistance, please contact accommodations@scale.com. For more information, see our privacy policy and Know Your Rights poster at the U.S. Department of Labor.

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