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Data Scientist

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Job description

Our Partner, an award-winning company, has been lead influencer in the global business landscape for more than 135 years. They provide a portfolio of services to support business (B2B) customers, ranging from individuals and start-ups, to the world’s biggest companies and delivers digital assets; from tools to integrations across websites and Apps.

Hybrid work from Sofia, with 20-30% of the time travels to Austria

#LI-MN1

Your responsibilities

  • Advising on feasibility of NLP projects, recommendation and implementation of applying machine learning for Content Analytics services;
  • Develop and deploy annotations and text classification models, as well as improvements to existing models and processes;
  • Create product-led solutions; content, such as through Clusters, Trends, Extracts, Relationships, Sentiment and Quotes & Opinions;
  • Creation and maintenance of insights, visualisations and dashboards to assess NLP model quality and summarise outputs and findings to non-technical audiences;
  • Advising product managers on experimental design and performance metrics;
  • Explaining techniques, results and ideas to colleagues, many of whom have not worked with data or NLP concepts before;
  • Forming close relationships with a range of stakeholders, including B2B product managers and user researchers.
  • 20-30% of the time travels to Austria

Our requirements

To succeed at this job, you must have:

  • Proven experience in applying Natural Language Processing (NLP) techniques to solve business and text context challenges
  • Recent experience working with large, unstructured text to solve complex problems
  • Substantial proficiency with Python (or R, or Scala) for data analysis and machine learning;
  • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop)
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
  • Experience working with ontologies and taxonomies to generate classification models as well as identify new opportunities for classifiers on original content
  • Examples of building, deploying and testing machine learning models on production systems
  • Passion for making the complicated easy to understand, through written, verbal and visual form
  • Experience in building proof of concepts and showcasing these within an appropriate environment, i.e. Jupyter.

It would be preferred if you have:

  • Previous experience in a newsroom or media company
  • Experience developing models built with toolkits such as SpaCy, BERT, Hugging Face and deploying within an AWS environment
  • ML pipeline, CI/CD and testing experience

Benefits

  • Internal Mobility Program – enjoy many opportunities for career growth, job rotations, diversity of projects & technologies
  • Referral Program – enjoy cooperation with your colleagues and get a bonus!
  • 5/10 Years NATEK Club – we offer long-term cooperation and celebrate each fifth-year cooperation anniversary with gifts
  • NATEK CSR Events & team buildings – enjoy our values: accountability, partnership and expertise and #workITwithus
  • Cafeteria
  • Medical Healthcare
  • Multisport Club Card
  • Language courses
Model:
Hybrid
Locations: Sofia
Type of contract:
B2B
Categories: Database

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    In NATEK you will have a chance to share your passions with other coworkers: Oksana and Wojtek made some kilometers for our #ActivityForCharity challenge.

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