Data Scientist
Role details
Job location
Tech stack
Job description
Act as Subject Matter Expert for Data flow and Data model deliveries within context of a Global Data Platform., * Single point of contact to deliver Data Platform use cases from end to end
- Translate business or IT ideas into data platform concepts and use cases.
- Understand products and/or core solutions and gather data requirements according to business needs
- Analysis and preparation of the data : cleansing, transformations, volume & frequency definition
- Designing and maintaining data systems ; this could include fixing coding errors and other data-related problems
- Providing technical expertise on data storage structures, data mining, and data cleansing.
- Design overall data integration flow , data models (MDM, DWH, AI) from data sources into data platform
- Secure that the solution architecture and design is documented as per the standards
- Document required governance & build common Data Integration services catalog
- Document data flows and/or models and follow implementation with developers, data collection analysts, legal, security and architects
- Build and maintain the overall Data Platform use cases planning
- Assist in managing projects and interdependencies with all stakeholders to ensure milestone adherence
- Escalate issues that are road blocks and need upper management attention
Requirements
- At least 5 years of experience in Data Platform setup (Data Analyst or in related field)
- Experience in data platform implementation, on Azure stack (Datalake, Data Factory)
- Experience in data models and reporting packages
- Experience in international context within large organizations
Education:
Bachelor's degree in Engineering, Information Systems, Science, Technology, Data Science, Math or Physics from an accredited university
Travel Requirement:Occasional (up to 20%)
Language:
English - Expert level
Any additional language is a plus, * Excellent communication skills
- Ability to act under strong pressure and to work in a high pace environment
- Ability to multi-task and work independently and very collaboratively and getting the job done
- Ability to analyze, model and interpret data
- Experience with and sensitivity for different cultures
- Ability to be flexible and adapt to any given situation
Benefits & conditions
Are we the right fit for each other? Have a look at the traits we're looking for. (1 Beginner - 10 Expert)
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Putting people first - be that your colleagues, clients or customers 10
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Always willing to develop self and learn; you are curious and support a culture of continuous learning in order to evolve professionally 8
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Seeks to empower others and collaborate with a collective spirit 10
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Engages and connects with others in a meaningful and respectful way to achieve common goals 9
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Initiates activities and decision making; perseveres with courage and energy to drive results 8
Traits are on a scale of 0 to 10
Rewards
Flexibility to work in the way that makes you most productive
Autonomy to make insightful and informed decisions
Meaningful work that makes a difference to peoples lives
Continuous learning through our TAG U Academy, mentoring, and career paths that are diverse and dynamic
Specific local benefits and rewards tailored to each country (holiday allowances, health care and more).