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Lead Data Scientist

170k – 200kSan Francisco, CACaliforniaData ScienceRemote5+ YOE
Summary

Lead data scientist analyzes large datasets to build analytics and models for audit/advisory insights, designs dashboards, and maintains data infrastructure. Requires 5+ years experience, strong SQL/Python, and data visualization skills.

About the role

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

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
Skills
SQLPythonpandasNumPydbtAirflowTableauPower BILookerETL
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