Overview At Scale AI, we accelerate the development of artificial intelligence by providing the 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 data solutions that solve our customers' complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and applies rigorous data science to deliver measurable business impact. Responsibilities Drive Impact: Directly 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, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction 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 quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to internal Product, Engineering, and Data Science teams, channeling real-world insights to influence product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: The role offers the opportunity to lead critical customer-facing projects, shape our data culture, and accelerate career growth toward future leadership in a technology-forward company. Requirements 8+ years of relevant industry experience in a highly analytical role (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 turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, 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 (e.g., AWS, GCP, Snowflake, BigQuery). Compensation and Location Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Directors approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in San Francisco, New York, Seattle is $208,000 — $260,000 USD. About Us and Equal Opportunity About Scale: Our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power leading models and help enterprises and governments deploy and oversee AI applications with real impact. We are an inclusive and equal opportunity workplace and prohibit discrimination based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We are committed to providing reasonable accommodations to applicants with disabilities. If you need assistance, contact accommodations@scale.com. See the Know Your Rights poster and Pay Transparency provisions for more information. We collect, retain and use personal data for professional purposes, including notifying you of job opportunities and sharing with affiliates. Our privacy policy covers data handling and protections.

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