Data Scientist III

Russell, Tobin & Associates; United States; Remote; USD 124,000 - 128,000; Full time

Job summary

Russell, Tobin & Associates is assisting a leading consumer technology and financial services organization in hiring a Data Scientist III for a fully remote contract role. The position focuses on building production data pipelines, advanced analytics, and AI-enabled insights to support marketing and business decisions.

You will design and monitor end-to-end pipelines, create executive dashboards, and collaborate with stakeholders to translate complex results into actionable recommendations.

Qualifications

• Advanced SQL and Python with production data pipelines.
• Experience in experimental design and causal or marketing measurement.
• Experience with Tableau/Looker and analytics platforms.
• Experience building LLM connectors or AI-agent data workflows.

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.

Skills

SQL

Python

Pandas

API integration

Orchestration

Data pipelines

Monitoring

Data quality

Tools

Tableau

Looker

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 .

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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