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Senior Data scientist / Senior Machine Learning Engineer - NLP @ scoutbee

Scoutbee GmbH , Berlin, Germany · scoutbee.com · Full-time employment · Programming

We at scoutbee are looking for a Senior Data Scientist with 4-5 years of experience with a focus in Ranking and Information Retrieval. You will join a cross-functional, diverse and interdisciplinary team of professionals. We have two offices in Germany. You can choose to work from Würzburg or Berlin.

The Senior Data Scientist -- Ranking and Information Retrieval will work in the core of scoutbee’s business of finding the best matching suppliers to purchasers demands. You will work with features created from text data, web-content, images and categorized hierarchical data.  You will mainly focus on improving ranking, query improvements and information retrieval with a focus on explainability. But closely work with others on implementing models for feature generation using multi-label text-classification, named entity resolution, text creation, and translations. You will work with recent list or binary ranking methods and asses recommendations, and experiment with question-answering systems. You will further collaborate with other data scientist using recent embedding models, e.g. BERT, GPT-2, flair, or develop our own. You will experiment with leveraging ontological contexts in knowledge graphs and your own approaches to further improve our supplier suggestions. You will explore and leverage node and other graph embedding as additional features from our continuously growing supply-chain graph. You will join our growing team of analytics experts. Together with our Data Engineers, UX experts, experienced Developers and a very keen Product team you will work in an agile environment and push our use of data and data processing to the next level. 

Key Technologies:

  • Python and ML/DL-frameworks (pytorch, tensorflow, sklearn, gensim, spacy)

  • Databricks, Spark (python or Scala), Neo4j

  • Docker, AWS

  • Git and Github 

Your role in our beehive 

  • Empower our customers to discover the best suppliers in the world and provide critical information to key decision makers in industry-leading companies like Audi or Unilever

  • Provide clear insights in why specific suppliers are ranked high with a focus on explainable

  • Support the development of DL/ML-models that extract detailed information from semi-structured data, e.g. web content and that make use of the data in best supplier searches.

  • Take ownership of the data part of business problems with data sources, its transformations, its models, and their application.

  • Strongly impact the intellectual property creation in the core of scoutbee’s business

What you bring to our beehive

You will be part of a work environment that is spread across multiple offices and where communication happens primarily using text and video chat. We value empathy and clear communication, and the importance of building a diverse and vibrant workplace. English is the language used.

  • Have at least 5 years of experience in a data science role with a focus on ranking and relevance for web-content using natural language processing or semantic search and the challenge of a high need for explainability

  • Strong analytical skills to working with structured and unstructured data.

  • Excellent knowledge of Python and its data science and deep learning libraries especially pyTorch

  • Experience with standard ontologies ideally in the field of procurement.

  • Good knowledge in Neo4j and PySpark

  • Proficient command of English

  • Appreciation of working in an agile environment and optimally have experience with Scrum

  • Excellent team player

Our Technology

Our models and services are mainly programmed in Python on the backend using DataBricks as platform, but we also use other tools when necessary. We are constantly innovating on technologies and run services using concurrent web-frameworks and graph databases. 

Feature generation has a strong focus on structuring texts, aligning entities from different sources and assessing data quality from various sources and makes use of tensorflow, pytorch, gensim, spacy, sklearn, and specific queries using database capabilities. 

The system is fed by a data-pipeline driven by Kafka and Airflow, connecting multiple small applications that perform natural language processing and data normalization, as well as make use of machine learning algorithms. 

We’re not expecting you to be an expert in all of these, and are happy to help you improve your skills around them. Our main expectation is that you’re interested in learning more around them, and believe that this is a good starting point.

What's in it for you? #beehivelife

  • Flexible working hours and the possibility to work frequently in home-office

  • Innovative and international very fast-growing company, strong emphasis on a Positive Intercultural Environment and Diversity Culture

  • International working environment characterized by flat hierarchies, a great company spirit and an open feedback culture

  • Excellent professional development opportunities

  • A very broad range of data science challenges, with a very open mind-set to novel and creative approaches.

  • A permanent position

  • Quarterly Hackathons/Gathering 

Are you super driven in Data Science, but your level of experience doesn't meet our requirements? Nevertheless, this job ad sounds super interesting for you - Please don't hesitate! For us, personality and cultural fit are more important than qualifications. We are aware that underestimation of one's own abilities and the imposter syndrome can be reasons why someone doesn't dare to apply.

We'd love to hear from you!

scoutbee is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to ethnic background, colour, religion, gender, sexual orientation, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

About scoutbee

scoutbee’s mission is to help the right purchasers and the right suppliers connect, anywhere in the world. scoutbee delivers procurement teams a smarter supplier discovery suite. Powered by AI and continuously curated data, scoutbee traces the supply chain of millions of suppliers to bring together supplier information with deep insights and a simple, digital process for strategic sourcing. Founded in 2015 by procurement, operations and engineering experts, scoutbee offers its strategic sourcing solution in Europe and in the US. scoutbee received global recognition in May 2019 at the World Procurement Awards with the “Highly Commended” award for technology. scoutbee has to date raised $76M in funding from investors including Atomico, Lakestar, Next47, Toba Capital, HV Holtzbrinck Ventures and 42CAP

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