Fieldguide is a remote-first company based in San Francisco, CA, focused on automating and streamlining assurance and audit work within cybersecurity, privacy, and ESG.
The Data Science team utilizes proprietary datasets to create Fieldguide Insights, providing visibility into Audit and Advisory execution and performance.
The role involves analyzing large volumes of structured and unstructured data to identify trends and actionable insights.
Responsibilities include defining and tracking key metrics, designing customer-facing analytics features, and maintaining scalable data infrastructure.
The position is ideal for individuals who enjoy solving complex problems and are passionate about improving workflows for Audit and Advisory firms.
Requirements:
A minimum of 3+ years of experience as a Data Scientist, Data Analyst, or in a similar role with large datasets is required.
Strong SQL skills and proficiency in Python, particularly with libraries like pandas and NumPy, are highly preferred.
Experience with modern data tools such as dbt, Airflow, or equivalent orchestration and transformation tools is necessary.
Hands-on experience with data visualization tools like Tableau, Power BI, or Looker is essential for effective communication of insights.
Technical expertise in building scalable data models, ETL pipelines, and designing data architecture is required.
Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift is expected.
Candidates should possess business acumen to translate data into strategic insights.
Excellent problem-solving, collaboration, and communication skills are essential.
A BSc/BA in Computer Science, Engineering, Math/Statistics, Business, or a relevant field is required; a graduate degree in a quantitative field is preferred.
Benefits:
Competitive compensation packages that include meaningful ownership opportunities.
Flexible paid time off (PTO) to support work-life balance.
A 401k plan to help employees save for retirement.
Wellness benefits, including a bundle of free therapy sessions to promote mental health.
Technology and work-from-home reimbursement to support remote work needs.
Flexible work schedules to accommodate diverse working styles and personal commitments.
