jobapplier

Senior Data Scientist

Roamler

Skills

Required

  • NLP
  • embeddings
  • semantic similarity / entity matching / text classification
  • data science
  • prompt
  • Spark
  • PySpark
  • AWS / Azure cloud
  • model hosting
  • artificial intelligence

Preferred

  • classification
  • Python
  • sklearn
  • numpy
  • pandas
  • AI
  • agent frameworks / computer vision
  • machine learning algorithms
  • clustering
  • regression

Join our team as a Senior Data Scientist, where you will find data solutions that address business problems and enhance customer experience. You will own and evolve our classical ML/NLP enrichment pipeline, design and run LLM-based components in production, and collaborate with data engineers and business stakeholders. You will also have the opportunity to drive continuous improvement in our data science setup and foster a collaborative team environment.

Add value by finding data solutions that fit the business problems we want to solve for our customers.

Eager to challenge the status quo and experiment with new tools and methods

About Roamler

Result-driven and hands-on attitude

Responsibilities

  • Own and evolve our classical ML/NLP enrichment pipeline (matching, classification, embeddings) and the services that power all our data applications.
  • Design, build, and run LLM-based components in production, such as enrichment, classification, and entity matching, with prompt design treated as part of system design.

Requirements

Experience with Spark, preferably PySpark

  • Experience with AWS or Azure cloud services, including model hosting
  • Solid experience with embeddings and NLP, such as semantic similarity, entity matching, or text classification
  • Ability to communicate in English, verbally and in writing
  • Bachelor's and/or Master's degree in a quantitative field (e.g. data science, computer science, artificial intelligence)
  • 5+ years of experience as a Data Scientist
  • Hands-on, practical experience bringing LLMs into production: prompt design, evaluation, and cost/latency tradeoffs, not just experimenting in a notebook
  • Proactive and courage to speak up

Preferred

  • Experience with Python (sklearn, numpy, pandas, etc.)
  • Experience with AI agent frameworks or computer vision is a plus
  • Knowledge of and experience with machine learning algorithms, such as clustering, classification, and regression