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Senior Forward Deployed Data Scientist/Engineer

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Scale

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Location:
United States , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

198000.00 - 247500.00 USD / Year
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Job Description:

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 the sophisticated data solutions that solve our customers' most 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.

Job Responsibility:

  • 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

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 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

Nice to have:

  • 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)
What we offer:
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend
  • equity grant

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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