Data Scientist

Summary

Join Fieldguide's Data Science team and leverage proprietary datasets to build Fieldguide Insights, a product offering new visibility into Audit and Advisory execution and performance. Collaborate with product, design, engineering, and customer teams to build analytics and data science models. Uncover key performance drivers, identify operational inefficiencies, and enable data-driven decisions. This role involves analyzing large datasets, defining key metrics, designing customer-facing analytics, building scalable data infrastructure, and improving data quality. You will translate data into strategic insights and communicate findings effectively. The ideal candidate thrives in solving complex problems and is passionate about shaping the future of intelligent workflows for Audit and Advisory firms. Fieldguide offers competitive compensation, flexible PTO, 401k, wellness benefits, technology and work-from-home reimbursement, and flexible work schedules.

Requirements

• Proven 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) is highly preferred
• 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
• Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift
• 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

Responsibilities

• 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

Preferred Qualifications

• Familiarity with prototyping and deploying machine learning models
• Familiarity with deep learning, natural language processing, and generative AI techniques

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