Data Scientist (Cloud)
Our client is more than a diversified global financial markets infrastructure and data business. We are dedicated,
- access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.
As a data scientist, you'll need to: work closely with your business to identify issues and use data to propose solutions for effective decision making. build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization.
The Cloud ATE Team (Agile Toolset Enablement) aims to scale adoption and use of DX (Developer Experience) Agile tools that provide our developers with
- class solutions to maximize velocity - including Asana, Git
Lab Issues, Stack Overflow, and Enterprise PDLC Metrics. Additionally, we develop and operate integrations for a coherent agile working environment between Clarity and Git
Data mining or extracting usable data from valuable data sources
Using machine learning tools to select features, create and optimize classifiers
Carrying out preprocessing of structured and unstructured data
Enhancing data collection procedures to include all relevant information for developing analytic systems
Processing, cleansing, and validating the integrity of data to be used for analysis
Analyzing large amounts of information to find patterns and solutions
Developing prediction systems and machine learning algorithms
Presenting results in a clear manner
Propose solutions and strategies to tackle business challenges
Excellent analytical and
- solving skills
Experience in database interrogation and analysis tools, such as Apache Hadoop, SQL and SAS
Experience in data mining
Cloud knowledge, including AWS and/or Azure
- learning and operations research
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
Analytical mind and business acumen
Strong math skills (e. g. statistics, algebra)
Exceptional communication and presentation skills for explaining your work to people who don't understand the mechanics behind data analysis
Effective listening skills for understanding the requirements of the business
Nice to have
A good understanding of Cloud, ideally Microsoft Azure.
Experience in Agile/Dev
English: B2 Upper Intermediate
Bucharest, Bucharest, Romania
|Adăugat:||21. 11. 2023
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