Lead Data Scientist

🕒 January 16

🏢🏡 San Francisco – Hybrid

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Fieldguide

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💸 Finance

☁️ SaaS

Artificial Intelligence • Finance • SaaS

Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ 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