Data Scientist with QuickSight Knowledge - Twitch

Client Office: Santa Clara California

Work Model: Hybrid

Type: Contract

Mandatory Skills

• AWS Bedrock
• Agent Core
• QuickSight
• SQL
• Python

Required Technical Skills

• SQL
• Python
• AWS (QuickSight S3 Redshift)
• Statistical Analysis
• LangGraph
• Agentic AI
• Generative AI

Job Description

• Become a domain expert in the companys customer support operations and platform data developing a strong understanding of how the business operates and where value is created.
• Translate ambiguous business questions into clear actionable analyses and solid deliverables; define metrics that measure customer support effectiveness and operational performance.
• Build and maintain dashboards that surface key insights for stakeholders across support and analytics functions.
• Design and apply statistical methods to evaluate program effectiveness support operational decisions and identify trends in customer and user behavior.
• Leverage LLM- and agent-based approaches to automate recurring analyses accelerate data exploration and build self-serve tools that let stakeholders query and interpret data without manual intervention.
• Produce ad-hoc analyses and reports that help teams make time-sensitive decisions with confidence.
• Communicate findings clearly to both technical and non-technical partners; distill complex data into concise actionable insights.

Roles & Responsibilities

• Experience in Analytics Data Science Statistics Mathematics or equivalent industry experience.
• At least 3 years of experience as a Data Scientist or Data Analyst in a data-driven environment.
• Strong SQL skills with the ability to write and optimize complex queries.
• Working proficiency in Python for data analysis and automation.
• Experience building dashboards and data visualizations (AWS QuickSight preferred).
• Background in statistical design and analysis (e.g. experiment design hypothesis testing regression).
• Ability to take mid-to-complex tasks from ambiguity through to delivered results with minimal hand-holding.
• Strong communication skills with a track record of creating insights that influence decisions.
• Some experience working within AWS environments (e.g. S3 Redshift).
• Hands-on experience with LLMs and agentic AI conceptsprompt engineering retrieval-augmented generation (RAG) and building or integrating agent workflows (e.g. tool use/function calling orchestration frameworks such as LangGraph or protocols like MCP).
• Familiarity with applying agentic patterns to real analytics use cases (e.g. text-to-SQL automated report generation or conversational data assistants) is a strong plus.

Required Skills:

QuickSightLangGraphStatistical AnalysisAgentic AIPython