Growth Signals
Forward Deployed Data Scientist
Location: Boston, MA preferred, remote may be considered
Type: Full-time
Stage: Seed-stage AI Startup
Industry: B2B SaaS / Artificial Intelligence
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
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
#J-18808-Ljbffr
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
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
#J-18808-Ljbffr