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Lead Data Scientist
Fieldguide · San Francisco, CA · Hybrid · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Fieldguide |
| Title | Lead Data Scientist |
| Normalized title | - |
| Department / team | Engineering, Product, and Design / Engineering, Product, and Design, Product |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fieldguide. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering, Product, and Design. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fieldguide |
| Source | a73ca118-e5e6-4cde-81e2-9b30cfd2b72d |
| ATS provider | Ashby |
Description
About Us
Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, specifically in cybersecurity, privacy, and financial audits. Put simply, we build software for the people who enable trust between businesses.
We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We’re backed by top investors, including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity—in backgrounds and experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble, and supportive. We are deliberate and self-reflective about the kind of team and culture we are building, seeking teammates who are not only strong in their own aptitudes, but who also care deeply about supporting each other’s growth.
As an early-stage startup employee, you’ll have the opportunity to help build the future of business trust. We make audit practitioners’ lives easier by consolidating up to 50% of their work and improving work-life balance. If you share our values and enthusiasm for building a great culture and product, you’ll find a home at Fieldguide.
About the Role The Data Science team at Fieldguide leverages novel, proprietary datasets to build Fieldguide Insights —a product that delivers new-to-the-industry visibility into audit and advisory execution and performance. You’ll work closely with Product, Design, Engineering, and Customer teams to build analytics and data science models that uncover key performance drivers, identify operational inefficiencies, and enable customers to make informed, data-driven decisions.
This role is ideal for someone who thrives on solving complex, ambiguous problems and is excited to shape the future of intelligent workflows for audit and advisory firms.
What You’ll Do Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights
Define and track key metrics to evaluate firm, team, and engagement performance using Fieldguide’s industry-leading dataset
Design and build customer-facing analytics features and dashboards that deliver measurable value by uncovering opportunities and supporting strategic decision-making
Build and maintain scalable data infrastructure—including preprocessing, ETL pipelines, data modeling, orchestration, and monitoring—to support analytics and product insights
Lead efforts to improve data quality, completeness, and accessibility across internal systems and product experiences
Who You Are 5+ years of experience as a Data Scientist, Data Analyst, or similar role working with large, complex datasets
Strong SQL skills and proficiency in Python (e.g., pandas, NumPy)
Experience shipping production code for customer-facing products
Experience with modern data tooling such as dbt, Airflow, or equivalent orchestration and transformation tools
Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively
Technical expertise in building scalable data models, ETL pipelines, and data architecture
Business acumen with the ability to translate data into strategic insights
Excellent problem-solving, collaboration, and communication skills
BA/BS in Computer Science, Engineering, Math/Statistics, Business, or a related field; a graduate degree in a quantitative field is preferred
Bonus Points Experience prototyping and deploying machine learning models
Familiarity with deep learning, natural language processing, and generative AI techniques
More About Fieldguide Fieldguide is a values-based company. Our values are:
Fearless — Inspire and break down seemingly impossible walls
Fast — Launch fast with excellence; iterate to perfection
Lovable — Deliver happiness and 11-star experiences
Owners — Execute and run the business with ownership
Win-win — Create mutual value and earn trust for life
Inclusive — Scale the best ideas with inclusive teams
Some of our benefits include: Competitive compensation packages with meaningful ownership
Flexible PTO
401(k)
Wellness benefits starting on your first day
Technology and work-from-home reimbursement
Flexible work schedules
Full job record
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| Board ID | a73ca118-e5e6-4cde-81e2-9b30cfd2b72d |
| Provider | ashby |
| Provider Job Key | fd1c14ef-a6bb-4cfe-a9fa-2c0d4ca033b9 |
| Title | Lead Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, CA |
| Department | Engineering, Product, and Design |
| Team | Engineering, Product, and Design, Product |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/fieldguide/fd1c14ef-a6bb-4cfe-a9fa-2c0d4ca033b9 |
| Apply URL | https://jobs.ashbyhq.com/fieldguide/fd1c14ef-a6bb-4cfe-a9fa-2c0d4ca033b9/application |
| First Seen At | 2026-05-29 06:21:06Z |
| Last Seen At | 2026-06-06 09:25:06Z |
| Last Checked At | 2026-06-06 09:25:06Z |
| Last Changed At | 2026-05-29 06:21:06Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=fieldguide/date=2026-06-06/2026-06-06T09-24-42-785Z-58209a16c84a062909c51d9cf62d610d2137fca7766770b94b5a73d77be1250c.json |
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