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.

Automotive Supplier Solutions, Data Operations

Workplace: Gdańsk

Region: pomorskie

Ref. number: R2144

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.

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, M 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

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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Current Colleagues

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