Data Scientist / Machine Learning Engineer
Mercer LLC
Warsaw, MA,PL
33 d. temu

Mercer is a global consulting leader in talent, health, retirement and investments. Mercer helps clients around the world advance the health, wealth and performance of their most vital asset their people.

Mercer's 20,000 employees are based in more than 40 countries. Mercer is a wholly owned subsidiary of (NYSE : MMC), a global team of professional services companies offering clients advice and solutions in the areas of risk, strategy and human capital.

Mercer is seeking candidates for the following position based in the Warsaw Operation Centre : Data Scientist / Machine Learning Engineer Data Scientist / Machine Learning Engineer role is part of the Strategic Projects Team.

The Team works on delivering technology-enabled solutions transforming Career business from the product organization to the Data as a Service model.

The team is a part of the Mercer Services Operations and works closely with the Business and Technology partners on designing, developing and implementing new solutions and leveraging advanced technologies to benefit clients and internal stakeholders.

Data Scientist / Machine Learning Engineer is accountable for developing and implementing advanced algorithms in Data Connector platform and other technology solutions.

The person in this role owns the algorithms, monitors their performance and works on the ongoing algorithm maintenance and further training / improvements.

This involves close cooperation with the Business, Technology and Operations teams to ensure that machine learning models operate correctly in production, adhere to the highest software engineering principles and the core philosophies of the MercerOS environment.

The individual is expected to :

  • Work as part of the team to design, develop and test prototypes of advanced AI / ML algorithms to be used in various business applications (job matching, automated data corrections, data validation, advanced data analysis)
  • Work with the Technology team to implement the algorithms in the technology solutions to ensure client / business needs are met and system performance is optimized
  • Monitor performance of the algorithms and suggest further ways of re-training and improving them
  • Identify opportunities for leveraging advanced analytics in transforming the business to the next level
  • Requirements

  • 2-4 years professional experience in a previous data scientist position or in a position overseeing the deployments of applications with machine learning components in production environments
  • Ability to wrangle datasets, performing operations such as splitting, joining, filtering and transforming datasets
  • Exploratory data analysis. Working with datasets to extract basic statistical insight using models from machine learning, artificial intelligence, statistical learning or similar
  • Good visualization skills. Ability to communicate findings through visualizations
  • Very good command of English
  • Programming : Python, R, Scala, Go, JavaScript, Java, C++ (very good knowledge in at least 1 of the above, including version control, unit testing and documentation)
  • Machine learning : TensorFlow, scikit-learn, keras, pytorch (very good knowledge with at least 1 of the above)
  • Databases : SQL, MongoDB, Elasticsearch (good knowledge with at least 1 of the above)
  • Big Data : Hadoop, Spark (hands on experience with at least 1 of the above)
  • Cloud : AWS, Azure, Google Cloud (significant experience with at least 1 of the above)
  • We offer

  • Work in an international environment in the Strategic Projects team
  • Many development and on-the job learning opportunities
  • Competitive salary
  • Attractive flex benefits package including sports card, medical insurance, life insurance, retirement plan, etc.
  • A-class office building facilities If you would like to apply for this position, please send in your application in English by 30th June 2018 .
  • Please include the following statement : "Wyrażam zgodę na przetwarzanie moich danych osobowych w dokumencie CV zarówno na potrzeby prowadzonej rekrutacji jak również po jej zakończeniu.

    Jednocześnie wyrażam zgodę na pozostawienie przekazanego dokumentu CV przez pracodawcę oraz przetwarzania moich danych osobowych w celu tworzenia i prowadzenia elektronicznej bazy danych co umożliwi wykorzystanie moich danych osobowych w kolejnych procesach rekrutacyjnych zgodnie z ustawą o ochronie danych osobowych z dnia 29 sierpnia 1997 r.

    Dz. U z 2002 nr 101, poz. 926) ."


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