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Automotive Supplier Solutions, Data Operations

  • Gdańsk, pomorskie pokaż mapę
  • Specjalista
  • 13.08.2018

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Automotive Supplier Solutions, Data Operations
    Location: Gdańsk
    Qualifications and skills
    • At minimum, a Degree in Computer Science, Statistics, Applied Math or related quantitative field with proven work experience in the data operations/scientist field
    • Proven experience with SQL and relational databases 
    • Proven experience with one or more programming/scripting languages (e.g. Python, C++, R, Matlab). Knowledge of R or Scala is desirable
    • Familiar with techniques to manage large databases, including partitioning, compression and   indexes  as well as data mining
    • Ability to build models (e.g. Linear regression, logistic, Markov models) and use one or more machine learning library/frameworks (e.g. Scikit-learn) with a view to solve complex high dimensional data
    • Established MS Office skills (including VBA and Access)
    • Good communication skills, collaborative team spirit, curiosity to constantly keep thinking of unique approaches and solutions.
    • Ability to work independently.
    • Experience committing to deadlines whilst multi-tasking

    Description of Duties


    The Automotive Supplier Solutions team at IHS Markit  is in search of a Data Operations/Data Scientist to support its global team's ongoing research and analysis efforts. The research team produces granular forecast dataset and written analyses on the supply chain of parts supplied to automakers with technology, supplier and logistic information.

    The position covers an array of critical data-centric activities aimed at enhancing the efficiency of our 50+ strong research team, sustaining the increasing data complexity as well as supporting new product development at one of IHS Markit's fastest growing product lines. The position is based in Gdansk, Poland and reports to our U.K.-based Data and Platform operations lead.

    Responsibilities and duties
    • Data restructuring and transformation for large inter-connected data sets
    • Harness machine learning and  statistical modelling with a view to  enhance automation, reduce      manual data interaction from research team and develop new insightful products
    • Identifying, assembling, and enriching a wide range of structured and unstructured data to support new automotive forecasts and analysis
    • Creation of logical and phisical data models as well as conducting quantitative research
    • Data wrangling and data mining to support product innovation and model creation
    • Exploring new data acquisition techniques (e.g. Scraping)
    • Develop interface for research team data entry and data quality routine checks
    • Testing new functionalities in our platforms and contribute to enhancements.
    • Be the go to person for 50+ team to understand data issues and devise possible solutions.
    It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
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    Wyrażam zgodę na przetwarzanie przez ogłoszeniodawcę moich danych osobowych, zawartych w mojej ofercie pracy, dla potrzeb niezbędnych do realizacji procesu rekrutacji zgodnie z ustawą z dnia 29 sierpnia 1997 r. o ochronie danych osobowych (t.j. Dz. U. z 2016 r., poz. 922). Jednocześnie wyrażam zgodę na przetwarzanie przez ogłoszeniodawcę moich danych osobowych na potrzeby przyszłych rekrutacji.