Sr. Forward Deployed Data Scientist/Engineer, Scale AI

• 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
• 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 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

Desirable

• We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges
• 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 powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines
• Your work will play a crucial role in shaping 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
• 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 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 our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our 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: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology