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Lead Data Scientist at Fieldguide

Fieldguide No longer available

Job Description

About Us

Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). Put simply, we build software for the people who enable trust between businesses.

We're based in San Francisco, CA and backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.

We value diversity - in backgrounds and in 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 that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.

As an early stage start-up employee, you'll have the opportunity to build out the future of business trust. We make audit practitioners' lives easier by eliminating up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will 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 in solving complex, ambiguous problems and is excited about shaping 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
  • Minimum 5+ years of experience as a Data Scientist, Data Analyst, or similar role working with large and complex datasets

  • Strong SQL skills; proficiency in Python (e.g., pandas, NumPy).

  • Have 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 designing data architecture

  • Business acumen with the ability to translate data into strategic insights

  • Excellent problem solving, collaboration, and communication skills

  • BSc/BA in Computer Science, Engineering, Math/Statistics, Business, or relevant field; graduate degree in quantitative field is preferred

Bonus Points
  • Familiarity with 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 & break down seemingly impossible walls.

  • Fast - Launch fast with excellence, iterate to perfection.

  • Lovable - Deliver happiness & 11 star experiences.

  • Owners - Execute & run the business with ownership.

  • Win win - Create mutual value & earn trust for life.

  • Inclusive - Scale the best ideas with inclusive teams.

Benefits
  • Competitive compensation packages with meaningful ownership

  • Flexible PTO

  • 401k

  • Wellness benefits, including a bundle of free therapy sessions

  • Technology & Work from Home reimbursement

  • Flexible work schedules

Typical senior pay: $156k for Data Scientists nationally

National salary averages
Expected senior-level
$156k
Entry
Mid
Senior
Expected
$64k Market range (10th-90th percentile) $194k

Top performers earn significantly more—skill and negotiation matter.

Senior roles pay 89% more than entry—experience is well rewarded.

Strong candidate leverage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Candidate-favored
Wage leverage
Moderate
Mobility
Good mobility

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+34%
10yr growth
New positions are being created faster than they're being filled.
A bachelor's degree is typically expected.
Typical: Bachelor's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024