Data Scientist

Data Scientist

Elsbethen, Österreich, Vollzeit

Do you have the required Data Science skills to drive real impact at one of the most recognizable brands globally?

In this role, you'll contribute to global Data Science projects to enable business stakeholders to make better data-driven decisions. You'll work closely with other team members and business stakeholders to build, run, and improve data science products. You'll focus on statistical analyses to solve ad-hoc business problems to generate impact. Finally, never content with the status-quo, you will also be responsible for innovation; for instance by introducing new data-driven business ideas, new statistical methods, new data products, or by supporting new business processes.

Areas that play to your strengths

All the responsibilities we'll trust you with:

DELIVER PROJECTS PART OF EXISTING DATA SCIENCE SERVICE LINES

You'll support the team by efficiently managing, running, and delivering Data Science projects. This end-to-end approach includes everything from project scoping, execution, quality assurance, and delivery via convincing presentations. Your main focus within the data science projects will be machine learning modelling.

STAKEHOLDER MANAGEMENT

You'll build close relationships with internal and external stakeholders. Thanks to your collaborative attitude and ability to absorb constructive feedback, you will maximise the likelihood of making each and every Data Science initiative a success for the company.

SUPPORT THE DATA SCIENCE MANAGER

You'll support with documentation, impact tracking, pipeline planning, preparing materials for the planning cycles, internal trainings, onboarding new colleagues, internal and external outreach and more.

DRIVE INNOVATION

Not content focusing exclusively on existing service lines and initiatives, you will actively think along and propose new ways of generating even more value for our stakeholders.

SUPPORT DS COLLEAGUES ON STATISTICAL AND ML METHODOLOGY

You'll work inside the Data Science Team and you will support them with theoretical and applied understanding of Stats, Probability and ML Algorithms to ensure top notch quality in data modelling and stats related topics. In your new role, you'll contribute developing conceptual, logical, and physical statistical/ML models that support various data-driven projects and you make sure to ensure the consistency with the data standards used across the organisation.

Your areas of knowledge and expertise

that matter most for this role:

• 2+ years of experience in Data Science (previous experience working as a Machine Learning Expert is a plus)
• Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
• Good command of English, both spoken and written. German a plus
• Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
• Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
• Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
• Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
• Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
• Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
• Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
• Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
• Grit: proven capability to see things through to the end even if initial feedback is discouraging

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In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.