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Why this grade This listing scored 36/100, which is an F. It lost the most ground on freshness. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Senior Data Science & Analytics
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
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Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights
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Define and track key metrics to evaluate firm, team, and engagement performance using Fieldguide’s industry-leading dataset
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Design and build customer-facing analytics features and dashboards that deliver measurable value by uncovering opportunities and supporting strategic decision-making
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Build and maintain scalable data infrastructure—including preprocessing, ETL pipelines, data modeling, orchestration, and monitoring—to support analytics and product insights
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Lead efforts to improve data quality, completeness, and accessibility across internal systems and product experiences
Who You Are
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5+ years of experience as a Data Scientist, Data Analyst, or similar role working with large, complex datasets
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Strong SQL skills and proficiency in Python (e.g., pandas, NumPy)
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Experience shipping production code for customer-facing products
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Experience with modern data tooling such as dbt, Airflow, or equivalent orchestration and transformation tools
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Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively
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Technical expertise in building scalable data models, ETL pipelines, and data architecture
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Business acumen with the ability to translate data into strategic insights
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Excellent problem-solving, collaboration, and communication skills
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BA/BS in Computer Science, Engineering, Math/Statistics, Business, or a related field; a graduate degree in a quantitative field is preferred
Bonus Points
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Experience prototyping and deploying machine learning models
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Familiarity with deep learning, natural language processing, and generative AI techniques
More About Fieldguide
Fieldguide is a values-based company. Our values are:
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Fearless — Inspire and break down seemingly impossible walls
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Fast — Launch fast with excellence; iterate to perfection
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Lovable — Deliver happiness and 11-star experiences
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Owners — Execute and run the business with ownership
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Win-win — Create mutual value and earn trust for life
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Inclusive — Scale the best ideas with inclusive teams
Some of our benefits include:
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Competitive compensation packages with meaningful ownership
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Flexible PTO
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401(k)
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Wellness benefits, including a bundle of free therapy sessions
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Technology and work-from-home reimbursement
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Flexible work schedules
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Where this listing came from
- 17 Jul 2026 Jobicy first sighting
Seen on 1 board over 0 days.