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Data Scientist III

Russell, Tobin & AssociatesSan Diego, CA🇺🇸United States

Why this role stands out

Advance your career with this remote Data Scientist III role at a leading consumer technology and financial services organization, offering a competitive hourly rate of $90-$93. You'll thrive by building impactful data pipelines and developing innovative LLM tools, directly influencing executive-level decisions. This is a fantastic opportunity to leverage your analytical skills and contribute to cutting-edge projects; apply today!

Quick overview

Salary$90 - $93/hr
SeniorityMid Senior
Work modeRemote
LocationSan Diego, CA, United States
SQLLookerTableauBigQueryDatabricksLLMPandasPython

Job description

Our client, a leading consumer technology and financial services organization, is looking to hire a Data Scientist III for a fully remote opportunity.
Apply today for consideration!
Job Title: Data Scientist III
Duration: Contract - 6+ months
Location: Remote – United States
Pay Range: $90 - $93 per hour (DOE)
Responsibilities:

  • Build and own production data pipelines ingesting AI-answer tracking, search, crawler, and API data into enterprise data platforms such as Databricks, Athena, and BigQuery.

  • Establish governed, versioned metrics and executive dashboards covering AI presence, favorability, share of voice, citation performance, and answer accuracy.

  • Develop LLM connectors, plugins, or MCP-style data-access tools with documentation, guardrails, query templates, and evaluation frameworks.

  • Conduct rigorous analyses involving experimentation, seasonality, causal comparisons, retrieval/content diagnosis, and AI-search behavior.

  • Translate complex findings into concise recommendations, dashboards, and executive-ready insights for senior marketing and business stakeholders.


Requirements:

  • Advanced SQL and Python experience, including pandas, API integration, orchestration, and end-to-end production data pipelines with monitoring and data-quality controls.

  • Strong applied data science expertise in experimental design, difference-in-differences, seasonality/noise analysis, uncertainty, and causal or marketing measurement.

  • Hands-on experience with Tableau, Looker, or equivalent executive analytics platforms, plus metric governance or semantic-layer/metric-store concepts.

  • Experience building or configuring LLM connectors, plugins, MCP-style tools, or AI-agent data workflows, including LLM output evaluation and documentation/guardrails.


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