Data Scientist - Forward Deployed
Location
United States
Posted
5 days ago
Salary
Not specified
Job Description
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
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.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
Data Scientist enabling partners to implement and optimize SentiLink products
Sr. Data Scientist
TrueMLTrueML is a fintech company building software to create positive experiences for consumers seeking financial health.
As a Sr. Data Scientist, you will lead complex initiatives in machine learning, mentor team members, drive technical roadmaps, and enhance code quality while solving challenging technical problems.
The role involves leveraging advanced statistical analysis, machine learning, and data modeling to analyze large datasets, identify trends, and develop/deploy predictive models. Key tasks include building data pipelines, conducting experimental analysis, and presenting actionable insights to stakeholders.
Statistics Expert (Python) - Freelance AI Trainer
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements; This is an estimate, not a guaranteed workload, and applies only while the project is active. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is pr...
