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Forward Deployed Data Scientist
Forward Deployed Data ScientistGrowth Signals • Boston, MA, US
Forward Deployed Data Scientist

Forward Deployed Data Scientist

Growth Signals • Boston, MA, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

Forward Deployed Data ScientistLocation : Boston, MA preferred, remote may be consideredType : Full-timeStage : Seed-stage AI StartupIndustry : B2B SaaS / Artificial Intelligence Please Note :    Due to requirements security requirements, this position is limited to U.S. citizens. All applicants must be able to provide proof of U.S. citizenship to be considered.

As a Forward Deployed Data Scientist (FDDS) at Growth Signals, you'll work directly with enterprise customers to help them get real value from our GenAI platform. You'll be their primary technical partner, combining data science expertise with product knowledge and customer success to solve their toughest challenges.

In this role, you'll translate business problems into practical solutions—building custom agentic workflows on our platform that help enterprises make better strategic decisions powered by AI.

Key Responsibilities

Work directly with customers :

  • Partner with executives and operational teams to understand their business challenges and identify where our GenAI platform can have the biggest impact
  • Act as the technical expert on our platform, translating business needs into agentic workflows and custom solutions

Build and implement solutions :

  • Integrate customer data sources and APIs into our platform's research agents and AI workspace
  • Design and deploy custom LLM workflows and agents for analyzing complex customer data
  • Develop and automate data science workflows tailored to each customer's needs
  • Own the full implementation—from initial discovery through deployment and adoption

    • Required Qualifications and Skills

    Technical skills :

  • Master's degree with 3+ years of experience (including 1+ year client-facing) or Bachelor's degree with 6+ years of experience in data science, ML engineering, or technical consulting. SaaS experience is a plus.
  • Strong data engineering skills (ETL, pipelines, cloud data warehousing) combined with data science fundamentals (modeling, statistics)
  • Hands-on experience with LLMs—building solutions, prompt engineering, and working with GenAI frameworks
  • Proficiency in Python and NoSQL databases (MongoDB)
  • Experience with statistical modeling, machine learning, and model evaluation
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and production deployment practices

    • Working style :

  • Experience working with both technical and non-technical stakeholders
  • Comfortable in an early-stage startup environment—you're self-directed and thrive with ambiguity
  • Willing to travel up to 50% for on-site customer work
  • Able to communicate technical concepts clearly to business audiences

    • About Us

    We’re building the future of AI-driven strategic innovation, and we’re looking for people who are excited to join us at the ground floor. As a seed-stage B2B startup, we’re on a mission to help teams accelerate discovery, validate concepts faster and scale impact across the organization, and we believe customer obsession is our unfair advantage. As an early member of our team, you’ll shape how we engage, retain, and grow our product & customers.

    Our Culture

    We’re builders, learners, and problem-solvers who take pride in delivering real value to our customers. We believe in fast feedback loops, radical transparency, and taking smart bets. If you’re energized by ambiguity, thrive in startup chaos, and care deeply about helping customers succeed, we’d love to hear from you.

    Why Join Us

  • Be one of the first 10–20 employees at a high-potential AI startup
  • Shape not just your role, but how we build and scale
  • Competitive salary + early-stage equity
  • Flexible remote-first culture
  • Opportunity to work directly with founders and shape product and customer strategy
  • Build relationships with innovative customers solving hard problems with AI

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