UX Data Scientist
New Delhi
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingDefine quality metrics and evals for agent behavior across correctness, grounding, safety, tone, and latency
Design and analyze A/B tests, holdouts, and shadow runs on real agent behavior
Build offline and online evaluation systems for LLM behavior
Run customer pilots and betas, mining usage to iterate on agent experiences
Turn complex enterprise workflows into agent experiences usable without training
From the employer’s posting
Define what "good" means for an agentic experience and turn it into metrics, evals, and datasets that hold up under scrutiny
Design and analyze experiments — A/B tests, holdouts, shadow runs — with correct sizing, clean reads, and honest conclusions
Build offline and online evaluation systems for LLM behavior across correctness, grounding, safety, tone, and latency
Work directly with customers — running pilots, mining usage, and iterating based on how they actually behave
Turn complex enterprise workflows into agent experiences people can actually use without training
What you’ll bring
All qualificationsCore experience
- Statistical rigor and ML fluency applied to messy production behavior
- Experiment design with correct sizing and honest conclusions
- Hands-on builder who ships code to production
Qualification wording
Apply statistical and ML fluency to real, messy production behavior
Design and analyze experiments — A/B tests, holdouts, shadow runs — with correct sizing, clean reads, and honest conclusions
Ship code confidently to production
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jul 18, 2026 · 92 days ago
- Recorded sightings
- 31
- Last seen by us
- Oct 18, 2026
- Employer says posted
- Jul 16, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
The Opportunity
The Skills You'll Have
- Thrive in fast-moving environments and deliver high-impact outcomes at pace
- Independently identify ambiguous challenges and take ownership of driving them to resolution
- Champion new ideas, influence stakeholders, and rally support around strategic initiatives
- Identify workflows where AI tools and emerging technologies accelerate delivery, and make
building the default way you work
Measurement, Experimentation, and Evaluation
- Define what "good" means for an agentic experience and turn it into metrics, evals, and datasets that hold up under scrutiny
- Design and analyze experiments — A/B tests, holdouts, shadow runs — with correct sizing, clean reads, and honest conclusions
- Build offline and online evaluation systems for LLM behavior across correctness, grounding, safety, tone, and latency
- Apply statistical and ML fluency to real, messy production behavior — distinguishing signal from noise and root cause from symptom
Agentic UX and Behavior Design
- Turn complex enterprise workflows into agent experiences people can actually use without training
- Design context architecture, decision paths, and communication patterns, and reason about how they shape behavior across the full input distribution
- Work directly with customers — running pilots, mining usage, and iterating based on how they actually behave, including customers with complex needs or in delicate situations
- Make tradeoff decisions across user needs, agent behavior, technical constraints, and business goals, and connect those decisions to commercial outcomes
Competitive & Market Awareness
- Maintain running awareness of the competitive landscape across multiple verticals
- Identify gaps and opportunities and produce analysis that connects to product and behavior decisions
- Track market trends, adjacent products, and emerging tools, connecting what's happening in the market to what Sitetracker should be doing
- Regularly contribute to competition and industry Slack channels with substantive observations
Within 90 Days, You'll:
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Collaborate regularly with product management, design, and engineering peers, and have met key stakeholders across the departments you work with
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Be on the phone with customers, learning their workflows, pain points, and how they use Sitetracker and Scout. Know the personas and subverticals
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Deliver work to your scrum team — pushing code, building instrumentation and evals, and demonstrating the builder standard
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Be able to confidently demo Sitetracker's core product in your area and give a solid cross-product demo
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Stand up baseline evals and quality tracking for your area in Watch, and establish what you don't yet measure
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Begin mentoring others and providing substantive feedback in reviews
Within 180 Days, You'll:
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Lead the successful delivery of high-impact agent experiences across complex enterprise workflows
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Own day-to-day decisions for your experience area independently, establishing leading indicators and making tradeoff decisions confidently
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Architect Scout graphs and design sophisticated AI interactions, owning a comprehensive eval suite and tracking quality over time
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Design and run experiments on real agent behavior, and run customer betas and previews independently — including with customers who have more complex needs or stronger opinions
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Actively mentor others and raise the bar through consistent, high-quality reviews of evals, experiments, and agent designs
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Contribute meaningfully to shared evaluation infrastructure and establish higher standards for quality measurement in your domain
Within 365 Days, You'll:
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Point to product successes you have driven that have directly contributed to commercial outcomes
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Be recognized as an expert in your domain — people across the org come to you when they need to understand your experience area or how its quality is measured
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Ship code confidently to production, build the instrumentation and evals that keep quality honest, and operate as a true peer with engineering
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Be trusted with the most complex customer situations and maintain relationships with key customers that you built and maintain on your own
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Shape direction across multiple projects with well-reasoned, evidence-backed positions that influence the roadmap
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Set the pace for delivery in your domain and make others faster by reducing ambiguity early
Employment type
Full-Time
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New Delhi
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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