Senior Data Scientist (#2665)

3 Months ago • 4-8 Years • Research & Development • Artificial Intelligence

Job Summary

Job Description

Ringier Data Technology Department seeks a Senior Data Scientist to leverage machine learning for financial prediction, advertisement pricing, chatbot creation, and more. The role involves working with LLMs and NLP to improve brand visibility. Responsibilities include applying statistical and deep learning methods to diverse datasets from various Ringier companies, collaborating with cross-functional teams on prototype development, and communicating findings to both technical and non-technical audiences. The ideal candidate possesses strong ML experience with frameworks like TensorFlow, Torch, and experience in software development (Git, Docker, AWS).
Must have:
  • Strong ML experience (TensorFlow, Torch)
  • Python proficiency
  • LLM and Langchain experience
  • NLP expertise
  • Full ML model lifecycle experience
  • Data analysis and problem-solving
Good to have:
  • Palantir Foundry experience
  • Experience with Git, DVC, Docker, AWS
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events

Job Details

Ringier Data Technology Department is looking for a Senior Data Scientist to join our team.

Our team leverages the latest models to predict financial figures or the best price for an advertisement, create user facing chatbots and much more applications. We’re also working with cutting-edge technologies, like LLMs, trying to create applications that will drastically increase the visibility of Ringier’s brands.

Requirements:

  • Strong record in applying Machine Learning to real-world datasets in a productive environment and are familiar with the main ML frameworks (TensorFlow, Torch, XGBoost, LightGBM, ...).
  • Strong experience in Python.
  • Experience with LLMs and frameworks like Langchain. You know the best practices and keep following the field so that you use the latest ones.
  • Deep knowledge of the latest advances in the NLP domain.
  • Experience in software development and confidence in developing the full ML model.
    lifecycle from research to production ensuring aspects such as reproducibility and.scalability (git, dvc, Docker, Amazon Web Services) is a plus.
  • (MS, Ph.D.) Degree in computer science, statistics, mathematics or a comparable degree program or equivalent work experience.
  • You’re a team player and at the same time can be independent and take responsibility for your tasks. Structured way of working and creativity complete your profile.
  • Experience with Palantir Foundry is a plus.
  • Full professional proficiency in English.
  • Ukrainian language Advanced or higher.

Responsibilities:

  • Working with various datasets from different Ringier companies in different business divisions across publishing and marketplaces and in different regions across continents.
  • Be responsible for choosing, improving, and applying various methods from statistics, machine, and deep learning technologies in order to solve business problems.
  •  the data of our users, their interests and online behavior as well as the data of the different Ringier’s business units in order to serve the business demands, and enable the future business models.
  • Working closely with cross-functional teams to develop prototypes and products for cross-portfolio use cases.
  • Communication and visualization of the value of data by describing the findings or the way how techniques work to both technical and non-technical audiences.
  • Keeping closely following research and engineering developments mostly in the NLP field, like HuggingFace, LLMs roll in the relevant technologies and methodologies to keep our modern technology landscape up to date.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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