Data Scientist, AI Operations Analytics

We Love AI Jobs

San Francisco (CA)

On-site

USD 135,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Benefits

Job summary

Handshake AI in San Francisco, CA is seeking a Data Scientist to analyze expert performance, task quality, and operational workflows. You will build metrics, dashboards, and self-serve analytics to guide product and operations decisions.

You will own SQL-driven analyses on large datasets, partner with product and operations teams, and translate questions into actionable insights, with a focus on data quality, throughput, and efficiency.

Qualifications

  • 3–5 years of experience in Data Science, Product Analytics, BI, or a related analytical role.
  • Expert-level SQL skills and experience working with large, complex datasets.
  • Experience defining metrics and using data to influence product or business decisions.
  • Strong communication skills and cross-functional collaboration.

Responsibilities

  • Write advanced SQL to analyze large, complex datasets related to expert performance and workflows.
  • Define, build, and maintain core metrics and dashboards for operational decisions.
  • Partner with Product, Operations, and cross-functional stakeholders to answer high-impact questions.
  • Conduct analyses that inform workflow design and task improvements.
  • Build dashboards, reporting, and self-serve analytics for fast decisions.
  • Identify data gaps and quality issues, then work with teams to resolve them.

Skills

SQL
Python
pandas
Jupyter notebooks
data analysis
dashboarding
A/B testing

Tools

dbt

Job description

Handshake AI in San Francisco, CA is seeking a Data Scientist to analyze expert performance, task quality, and operational workflows. You will build metrics, dashboards, and self-serve analytics to guide product and operations decisions.

You will own SQL-driven analyses on large datasets, partner with product and operations teams, and translate questions into actionable insights, with a focus on data quality, throughput, and efficiency.

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