Lead Data Scientist

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.

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.

• 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

• 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

• Experience prototyping and deploying machine learning models

• Familiarity with deep learning, natural language processing, and generative AI techniques

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

• 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