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Chief Data Officer (CDO) - full time (m/f/d)

About us

World Data Lab (WDL) helps organizations with strategic data-driven decision-making. Founded by economic thought leaders and technologists, WDL is a data science SaaS enterprise that uses cutting-edge peer-reviewed methodologies and AI to most credibly model and forecast spending power as well as demographic dynamics. With the data contained in our MarketPro tool, businesses all over the world can make better strategic decisions based on unique insights into the market.
In conjunction with the commercial entity, we have also founded an NGO to be at the forefront of the ESG trend and to create sustainable impact by tracking SDGs in real-time through our various projects like population.io, worldpoverty.io, and worldhunger.io.
We are looking for candidates who thrive in fast-paced environments, don’t shy away from challenges, and genuinely want to make an impact. To further strengthen the backbone of WDL with unique data methodologies and an exceptional data team, we are currently looking for an experienced leader in the data field who is excited to drive project work forward and manage teams with international elements.

Your contribution to World Data Lab:

  • Lead, build, and develop growing existing data teams
  • Conceptualize, plan, and lead implementation of new functionalities from the ground up
  • Provide strategic input to WDL’s data & product roadmap
  • Coordinate with internal and external stakeholders on ongoing projects and provide estimations for future collaborations with private entities, national governments, and other international actors

What we are looking for:

  • At least 10 years of experience in working with data and building statistical models, of which 3 years in a leading role;
  • Fluency in English is essential, additional languages (especially French and Spanish) are advantageous
  • Demonstrated track record of top performance leading data teams and innovative projects
  • Strong leadership and communication skills
  • Strong global network and capacity to represent WDL internationally
  • Excellent programming experience in R and Python;
  • Experience in manipulating data and drawing insights from large datasets
  • Knowledge of advanced statistical concepts and techniques (Bayesian model averaging, random forests, etc.);
  • Passion for clean code and focus on simplicity;
  • Ability to work and be flexible in a fast-paced scale-up environment;
  • Be open to learning something new each day.

Additional skills:

  • Background in Economics, the Digital Economy or Labor Economics;
  • Expertise with neural networks;
  • Experience with GitHub and RMarkdown.

What's in it for you:

  • State-of-the-art equipment and tools that help you to perform at your best
  • The opportunity to have an impact in a fast-growing and well-established big data SaaS scale-up
  • Gain unique insights into a for-profit and an NGO company
  • Flexible working hours with high acceptance of home office
  • Be part of a team of highly motivated and like-minded individuals
  • Great individual development- and growth opportunities

Our mission is big: make everyone count!

We offer a base salary starting at 81,000 EUR per year and offer a considerable overpayment based on previous experience.

We strongly believe that people are a critical piece of the equation and essential to achieving long-term success. Our passion-driven team works tirelessly towards making everyone count, together! Above all, we value integrity, honesty, and creative thinking to achieve our goals. If you’re up for a challenge and ready to work with our diverse team, please send your CV and a short statement outlining your motivation to recruiting@worlddata.io.At World Data Lab we always have exciting new projects coming in not only for our corporate side but also for our NGO side.

Work with us

Join the WDL team

If you’re ready to work with this team of friends, send us your CV and a brief cover letter – either in the body of the email or as a separate doc - in English to recruiting@worlddata.io or fill out the form on the left.

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Lindengasse 56/18-19
1070 Vienna, Austria

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