Senior Data Scientist, Agentic UX

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $145k - $215k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Sitetracker

WebsiteLinkedInAll Job Openings

201 - 500 employees

📦 Logistics

💼 Consulting

📡 Telecommunications

Logistics • Consulting • Telecommunications

Sitetracker is a leading provider of deployment operations management software, primarily aimed at high-volume, repeatable, and distributed infrastructure projects. It serves industries such as telecommunications, energy, and construction & engineering, offering solutions to efficiently manage projects, sites, and assets. Utilizing its platform, which integrates geospatial data to streamline processes, Sitetracker enables enhanced project visibility and profitability for companies and governments worldwide. The company's services are built on a cloud platform, leveraging technologies such as Salesforce for document management, machine learning, and security, with a focus on industries like telecom, renewable energy, and utility connectivity.

📋 Description

• Own day-to-day decisions and solution definition for an experience area • Define leading indicators, scope work, prioritize effectively, and make tradeoff decisions across user needs, agent behavior, technical constraints, and business goals • Monitor competitive landscapes, market trends, adjacent products, and emerging AI tools • Develop expertise in telecommunications, EV charging, renewables, utilities, and related customer workflows • Investigate complex cross-team problems using logs, traces, evaluations, and customer behavior • Instrument unmeasured areas, design analyses, identify root causes, and move findings to action • Work directly with customers, run pilots, analyze usage, and turn behavioral patterns into design decisions • Design end-to-end agentic experiences, including context architecture, decision paths, communication patterns, and behavioral contracts • Design for web and mobile experiences and agents across field and enterprise users • Ship production code, build AI graphs, prototypes, data pipelines, instrumentation, and evaluation harnesses • Architect Scout graphs and define decision paths, context architecture, communication patterns, and product surfaces • Create comprehensive evaluations covering correctness, grounding, safety, refusal, latency, and tone • Design offline and online evaluation strategies and build supporting datasets • Design and run A/B tests, holdouts, and shadow evaluations • Run usability and behavior reviews, customer betas, and previews • Establish metrics tied to commercial outcomes and track adoption and success • Build dashboards and analyses to make adoption and outcomes visible • Review others' evaluations, experiments, analyses, and agent designs; mentor and provide actionable feedback • Potentially manage a dedicated intern • Collaborate with product management, design, engineering, and scrum-team peers

🎯 Requirements

• Statistical and machine learning fluency applied to production behavior • Ability to design and analyze A/B tests, holdouts, and shadow runs • Ability to build offline and online LLM evaluation systems • Experience with agentic UX and behavior design, including context architecture, decision paths, and communication patterns • Ability to work directly with customers through pilots, usage analysis, betas, and previews • Ability to open pull requests, ship production code, build prototypes, data pipelines, instrumentation, and reusable evaluation harnesses • Fluency in platform architecture, retrieval, grounding, graph logic, and AI behavior • Ability to architect Scout graphs and sophisticated AI interactions • Competitive and market awareness across multiple verticals • Deep product knowledge and understanding of industry-specific workflows • Ability to present to senior stakeholders and translate complex technical and quantitative concepts • Ability to demo the product and cross-product functionality • Experience or ability to use AI-assisted development tools such as Claude Code, Cursor, and Scout • Ability to work within an existing codebase and engage in technical discussions with engineering • No explicit educational credential or minimum years of experience stated