Lead Data Scientist

Dynatrace
Linz, Austria
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote
Barcelona, Spain

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Encodings
Information Engineering
Text Processing
Graph Database
JSON
Python
Neo4j
Open Source Technology
Parsing
Performance Tuning
Systems Architecture
Unstructured Data
Management of Software Versions
Large Language Models
Snowflake
Low Latency
Machine Learning Operations
Software Version Control
Dynatrace

Job description

Dynatrace makes it easy and simple to monitor and run the most complex, hyper-scale multicloud systems. Dynatrace is a full stack and completely automated monitoring solution that can trackevery user, every transaction, across every application., Our team is looking for a Lead Data Scientist specialized in Large Language Models (LLMs) to design, build, and scale generative AI capabilities for real-world, enterprise-grade use cases. In this hands-on technical leadership role, you'll own the end-to-end LLM stack, from data/knowledge, Ingestion and retrieval to prompt and tool-use architecture, evaluation frameworks,safety/guardrails, and cost/latency optimization. Your Tasks

  • Own the LLM system architecture: Retrieval pipelines, prompt/tool design,

routing/fallbacks, safety layers, and telemetry, optimized for quality, latency, and cost.

  • Establish technical standards for RAG: content ingestion, chunking/windowing, hybrid

retrieval, reranking, query understanding, and structured output contracts.

  • Define evaluation strategy: Create a rigorous eval suite covering answer correctness,

attribution/grounding, toxicity/safety, privacy leakage, determinism, latency, and cost.

  • Formalize LLMOps: Versioning for prompts/datasets/models, experiment governance,

prompt and dataset registries, and promotion criteria from dev - staging - prod.

  • Drive tool/agent design: API schema design for function calling, error handling, recovery

strategies, self-correction, and guardrail integration.

  • Make build-vs-buy calls: Weigh managed providers vs. open-source/self-hosted,

considering performance, cost, IP, privacy, and compliance.

  • Mentoring: Provide deep technical mentorship on prompting, retrieval design, evals, and

safe deployment; lead reviews of prompts, pipelines, and evaluation reports. Hands-on Data Science

  • Implement end-to-end RAG systems: ingestion - chunking - embeddings - hybrid search -

rerank - prompt assembly - tool calls - post-processing.

  • Engineer robust prompts/tools: reusable templates, multi-turn strategies, structured

outputs via JSON Schema/Pydantic.

  • Select/tune models: foundation models, embeddings, rerankers; apply LoRA/PEFT or

distillation when justified.

  • Build eval corpora: golden sets, KPIs for accuracy, groundedness, deflection, tool

success.

  • Implement guardrails: PII/PHI detection, policy prompts, jailbreak resistance, filters,

safety scorecards.

  • Productionize: ship resilient services with analytics, alerts (drift, quality, cost), SLOs, etc.
  • Optimize for scale: token, latency, cost; caching, context packing, batching, speculative

Requirements

  • Advanced CS/AI/ML degree or equivalent, strong ML background.
  • 7+ years DS/ML, 3+ years NLP /LLMs, shipped production systems.
  • Python and core ML stack: 5+ years of professional Python.
  • Data engineering for unstructured data (3+ years): text processing, parsing, embedding-

friendly preprocessing.

  • Proven RAG expertise (1+ years): embeddings, retrieval, reranking, chunking.
  • Evaluation depth (1+ years): offline/online evals for accuracy, grounding, safety.
  • Safety/privacy (1+ years): moderation, PII/PHI redaction, policy enforcement.
  • LLMOps (1+ years): prompt/version management, experiment tracking, monitoring.
  • Excellent communication: explain trade-offs, drive data decisions.

Desirable experiance:

  • Serving/scaling: vLLM/TGI, Ray Serve, Triton; GPU/CPU trade-offs.
  • Tuning/distillation: LoRA/PEFT, safety alignment, synthetic data.
  • Domain: observability, support systems, multilingual, regulated environments.
  • Cloud/security: Snowflake/AWS, managed vs self-hosted.
  • Experience with graph-based knowledge bases (e.g., GraphDB, Neo4j) and knowledge

graphs to complement RAG systems with entity modeling and relationship-aware retrieval.

Benefits & conditions

  • Working models that offer you the flexibility you need, ranging from full remote options to

hybrid ones combining home and in-office work

  • A team that thinks outside the box, welcomes unconventional ideas, and pushes

boundaries

  • An environment that fosters innovation enables creative collaboration and allows you to

grow

  • A globally unique and tailor-made career development program recognizing your

potential, promoting your strengths, and supporting you in achieving your career goals

  • A truly international mindset with Dynatracers from different countries and cultures all

over the world, and English as the corporate language that connects us all

  • A culture that is being shaped by our global team's diverse personalities, expertise, and

backgrounds

  • A relocation team that is eager to help you start your journey to a new country, always

there to support and by your side. If you need to relocate for a position you're applying for, we offer you a relocation allowance and support with your visa, work permit,accommodation .

Note to Recruiters and Agencies : Thank you for your interest in Dynatrace. Please note that we do not accept unsolicited agency resumes -do not forward them via our website or directly to Dynatrace employees. Dynatrace will not pay fees for unsolicited resumes, and any resumes received this way will be considered the property of Dynatrace.

Benefits and work-life perks

We offer best-in-class core rewards, including paid time off, financial security benefits, retirement savings plans, and health insurance. Beyond that, you'll get other benefits and work-life perks designed to make your ride with us even more rewarding.

Mental health support

Our Employee Assistance Program, powered by Telus Health, offers support for you and your family members.

Wellness Days

Four company-designated extra paid days off for you to recharge batteries.

About the company

Dynatrace (NYSE: DT) is the world-leading AI-powered observability platform. 

We’re advancing observability for today’s digital businesses, and helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze every transaction, automate at the speed of AI, and innovate faster and without limits to drive their business forward. 

Our culture, fueled by curiosity, openness, and authenticity, drives our relentless pursuit of innovation and excellence in crafting the Dynatrace platform.

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