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Lead Data Scientist
- San Francisco, California, United States
- San Francisco, California, United States
À propos
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
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Compétences linguistiques
- English
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