Summation · 3 weeks ago
Forward Deployed Data Scientist
Bellevue, WA
Full-time
Onsite
Mid, Senior Level
$180K/yr - $200K/yrSummation is building the future of business planning and analytics by bridging the gap between data and decision-making. They are seeking Forward Deployed Data Scientists to work directly with enterprise clients, transforming complex data into actionable insights and architecting processes for data-driven business operations.
Artificial Intelligence (AI)Enterprise SoftwareInformation TechnologyPredictive AnalyticsSoftware
Responsibilities
Work directly with client finance, analytics, and operations teams to understand their data and what they're trying to accomplish
Translate undocumented schemas and fragmented datasets into clean, structured data—and do it in a way that's repeatable with AI, not just a one-off
Build the analytical foundation that lets clients actually run their business with data (resource allocation, scenario planning, business reviews that produce decisions, not just slides)
Apply statistical methods and modeling to answer business questions and validate that the systems are working
As you solve problems for specific clients, extract reusable patterns and components. Your work compounds: the systems you build for one client become the starting point for the next five
Help build the playbook and tooling that lets us onboard future clients faster
Contribute to our understanding of how to teach AI to do more of this work autonomously
Develop forecasting models and optimization systems that generalize across clients
Supervise teams of AI-powered agents to do data science work at scale—think of yourself as managing a squad of fast, capable (but imperfect) junior analysts
Re-engineer how data work gets done: what used to take two weeks should take two days, and what took two days should be automatic
Build the sanity checks and feedback loops that let you trust AI outputs—if something's off, you should know immediately
Continuously improve our workflows—kaizen for the AI era. Figure out what the AI can't do yet, teach it, and iterate
Qualification
Required
Strong SQL and data fundamentals. You can write complex queries, design schemas, and debug data issues. But more importantly, you understand data well enough to architect processes around it—not just execute tasks
Production mindset. You don't just hand off a Jupyter notebook; you build systems that run reliably long after you've left the room
Python and statistical fluency. You're comfortable with the modern data science stack and can apply statistical methods to real problems. You understand when a simple heuristic beats a complex model
Experience with data modeling and financial/business metrics. You've built KPIs, dashboards, business reviews, or similar. You understand what a P&L is and aren't scared of accounting concepts like journal entries and allocations
Product and business intuition. You can look at a business problem and figure out what needs to be built, not just how to build the schema. You could probably be a PM or a BizOps lead, but you chose to be technical because you like building things that work
Comfort with ambiguity and client-facing work. You can talk to a VP of Finance, understand their problem, and translate it into a data solution. You don't need everything defined before you start
AI fluency. You understand how to supervise AI—setting up feedback loops, verifying outputs, knowing when to trust it and when to dig in yourself
High ownership and motivation. We care more about your drive than your pedigree. Performance = motivation × capability, and if you're motivated, you'll acquire whatever capabilities you're missing
Preferred
Experience at a growth-stage startup where you had to scale operations, build from scratch, or wear multiple hats
Familiarity with dbt, Snowflake, Airflow, or similar modern data stack tools
Prior work on pricing, marketplace dynamics, financial reporting, or resource allocation problems
Experience with forecasting, optimization, or reinforcement learning concepts (we're building systems that help businesses allocate resources dynamically)
Experimentation and causal inference background—A/B tests, pricing experiments, propensity matching. Knowing how to measure the impact of interventions, not just describe correlations
Bayesian thinking—comfort with uncertainty, updating beliefs with data, and building models that reflect how the world actually works
Benefits
Competitive salary and equity options
Remote-friendly with expectation of monthly travel to Bellevue and periodic client visits
Flexible (Unlimited) Paid Time Off
Medical, Dental, and Vision benefits for you and your family
401(k) Plan
Parental Leave
Opportunities for growth and career development
Company
Summation
Summation delivers an AI platform that helps enterprise teams to generate insights, automate workflows, and surface strategic opportunities.
Founded in 2024
11-50 employees
H1B Sponsorship
Summation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageTotal Funding
$33.37MKey Investors
Kleiner PerkinsBenchmark
2025-10-01Series A· $21M
2025-10-01Seed· $12.37M
Leadership Team
Ian Wong
Co-Founder & CEO
Recent News
GeekWire
2025-10-10
Company data provided by crunchbase