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21 Sep 2020

Full-Time Data Scientist

DefinedCrowd – Posted by definedcrowd Lisbon, Lisbon, Portugal

Job Description

Who are we?

Who is DefinedCrowd? Well, from a technical point of view, we leverage the power of a global crowd to provide some of the world’s biggest companies with the high-quality data they need to power their artificial intelligence. We’re instrumental to the progression and development of artificial intelligence and we couldn’t be prouder or more inspired to be involved in an industry that is changing the world.

From a personal point of view, we’re a group of big thinkers, high achievers and creative problem solvers. We bond over our shared love of software engineering, data science, and strong coffee. We like online gaming, running marathons, and team drinks. We celebrate authenticity and diversity and we’re invested in what we do. Our mission? World domination, obviously!


What will you do?

  • Apply your knowledge in Natural Language Processing and Machine Learning to research, solve and productize hard problems in a crowdsourcing context;
  • Research, design, implement and optimize machine learning services on the platform;
  • Participate in integration strategies and application infrastructure required to successfully implement a complete solution and monitor its performance;
  • Work with other machine learning team members in designing, testing and implementing cutting edge machine learning models;
  • Carry out structured, concise and reproducible data analysis that generate insight on different types of data;
  • Conduct state-of-the-art research within a clear path to production.

Who are we looking for?

Do you have the drive to work in an innovative and ambitious environment?

We’re looking for someone with a determined and proactive mindset, someone inspired and passionate to help us achieve our goals. Our successful candidate is a strong critical thinker, reliable and transparent, with an ability to learn and communicate. We’re looking for someone special to contribute to our unique culture.

Our Data Scientists have:

  • MSc/PhD in Computer Science or equivalent;
  • Broad knowledge of supervised ML (both classic and deep learning approaches);
  • Knowledge of Statistics, Data Analysis, and autonomy while exploring different kinds of data and formulating novel solutions for problems;
  • Knowledge of Deep Learning ML frameworks (e.g. Keras, TensorFlow, etc.);
  • Sound experience with the Python ecosystem for scientific computing (numpy, pandas, scikit-learn, matplotlib, etc.);
  • Critical thinking skills proven by previous research projects, and clear communication;
  • Excellent speaking and writing skills in English;
  • Previous experience with Big Data technologies (e.g. Hadoop, Spark).
  • Proven experience in one or more common tasks in Natural Language Processing (e.g. Language Modeling, Conversational Agents, Named Entity Tagging, Information Retrieval, Topic Modelling, Sentiment Analysis, etc.).

Nice to have:

  • Relevant publications in the field of Fraud Detection, Recommendation Engine, etc
  • Enterprise experience in Natural Language Processing;
  • Experience with crowdsourcing and data labelling;

Why Join Us?

You spend a lot of your time at work, so it should be challenging, fun and interesting. At DefinedCrowd, it will be all of those things and more. Here’s what we offer:

  • A unique culture, healthy working environment, and a flexible work schedule;
  • Excellent career development opportunities in a high growth company;
  • Access to an excellent compensation and benefits package;
  • An international and diverse team, representing more than 30 nationalities at our 4 locations;
  • Global mobility and relocation support with the help of our specialized team;
  • Continuous training opportunities leveraging hand-on workshops and formal development opportunities.

How to Apply

If you are a great match and you are interested in knowing more, please apply here!

Job Types: Full-Time. Job Tags: data analysis, Data Science, Deep Learning ML frameworks, Hadoop, Keras, NLP, python, Spark, statistics, and TensorFlow.

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