Scale
Senior Forward Deployed Data Scientist/Engineer
At Scale AI, we are accelerating 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 has a passion for applying 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, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. 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 our technical customers, deeply understanding their 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 and drive customer value. Strategic Influence: Advocate for the customer within Product, Engineering, and Data Science teams to influence product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying 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 career growth. Requirements:
5+ 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 translate abstract business 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 communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt to the world of Generative AI. Location: San Francisco or New York City with a hybrid work arrangement. 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 benefits: Scale offers base salary, equity, and benefits. The posted salary range reflects the minimum and maximum target for new hire salaries by location. Details on the specific range for your location and eligibility for equity will be provided by the recruiter. Benefits include health, dental, vision, retirement, learning stipend, generous PTO, and potential commuter benefits. EEO Statement: Scale AI is an equal opportunity employer. We do not discriminate on any protected status. We are committed to providing reasonable accommodations to applicants with disabilities. If you need an accommodation in the application process, please contact accommodations@scale.com. Location note: Please reference the job posting subtitle for the location of this position.
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At Scale AI, we are accelerating 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 has a passion for applying 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, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. 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 our technical customers, deeply understanding their 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 and drive customer value. Strategic Influence: Advocate for the customer within Product, Engineering, and Data Science teams to influence product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying 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 career growth. Requirements:
5+ 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 translate abstract business 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 communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt to the world of Generative AI. Location: San Francisco or New York City with a hybrid work arrangement. 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 benefits: Scale offers base salary, equity, and benefits. The posted salary range reflects the minimum and maximum target for new hire salaries by location. Details on the specific range for your location and eligibility for equity will be provided by the recruiter. Benefits include health, dental, vision, retirement, learning stipend, generous PTO, and potential commuter benefits. EEO Statement: Scale AI is an equal opportunity employer. We do not discriminate on any protected status. We are committed to providing reasonable accommodations to applicants with disabilities. If you need an accommodation in the application process, please contact accommodations@scale.com. Location note: Please reference the job posting subtitle for the location of this position.
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