ABOUT THE TEAM The Data Team is responsible for the creation of our data products. From the processing of input data to creating the methodologies behind our forecasting, the entire pipeline of creating our datasets sits with the data team. The focus of the team is on our four yearly data updates and the incremental improvements that need to be done to our methods and input data. Further, Data Team members will help support the Insights Team on (private sector) client-specific requests that require subsets of our main data products.  ABOUT THE ROLE <div style="text-align:justify;">We are looking for an Associate Data Scientist to work closely with our Data Team to translate complex data into standardized input data with the goal of improving our data quality. This role will be focused on data creation, data modelling, and product refinement. This position will primarily work on private sector client tasks.</div> THE CHALLENGE <ul style="list-style-type:disc;"><li style="font-size:15px;text-align:justify;">Clean our household budget surveys to ensure we are capturing the right category and spending shares.</li><li style="font-size:15px;text-align:justify;">Assist with QAQC, of our key products, including but not limited to World Data Pro, categories data, cities data, and households data.</li><li style="font-size:15px;text-align:justify;">Collect and clean national accounts and CPI data.</li><li style="font-size:15px;text-align:justify;">Contribute to thought leadership initiatives, including blogs, reports, and presentations.</li><li style="font-size:15px;text-align:justify;">Provide technical and analytical support, primarily to our private sector clients.</li></ul> YOUR PROFILE <ul><li style="font-size:15px;text-align:justify;">Educational background in economics, data science, statistics, or a related field.</li><li style="font-size:15px;text-align:justify;">0-2 years of work experience - recent graduates are encouraged.</li><li style="font-size:15px;text-align:justify;">Interest in economic, demographic, or household-level datasets.</li><li style="font-size:15px;text-align:justify;">A collaborative mindset and curiosity to learn.</li><li style="font-size:15px;text-align:justify;">Familiarity with version control systems (e.g., Git) and collaborative coding practices.</li><li style="font-size:15px;text-align:justify;">Experience with data visualization tools such as ggplot2, Shiny, or Tableau.</li><li style="font-size:15px;text-align:justify;">Experience with command-line tools or working on remote servers.</li><li style="font-size:15px;text-align:justify;">Demonstrated ability to contribute to data-driven projects in a team setting.</li><li style="font-size:15px;text-align:justify;">Advanced level English (min. C1).</li></ul><div style="text-align:justify;">Competences: </div><ul style="margin-top:0in;"><li style="font-size:15px;text-align:justify;">Flexibility: As part of your hybrid format, flexibility is expected on both sides.</li><li style="font-size:15px;text-align:justify;">Proactive Communication: Provide advance notice of any periods where you may have reduced availability so the team can plan accordingly.</li><li style="font-size:15px;text-align:justify;">Collaboration: Engage actively with supervisors and your mentor to ensure smooth task execution.</li><li style="font-size:15px;text-align:justify;">Accountability: Take ownership of your tasks, ensuring timely and high-quality delivery.</li></ul> OUR OFFER <ul><li style="text-align:justify;">The opportunity to make an impact in a well-established big data SaaS scale-up.</li><li style="text-align:justify;">Work with leading global client companies.</li><li style="text-align:justify;">Be part of a diverse team of highly motivated and like-minded individuals.</li><li style="text-align:justify;">Opportunity to shape your career through personal development plan supported by the growth opportunities.</li><li style="text-align:justify;">A dynamic, inclusive environment where collaboration with colleagues across the globe is part of everyday life.</li><li style="text-align:justify;">Flexible home office opportunity.</li><li style="text-align:justify;">A centrally located office in Vienna (near Schwedenplatz).</li><li style="text-align:justify;">Vienna transportation ticket - Wiener Linien Pass.</li><li style="text-align:justify;">Regular team events and activities.</li></ul><div style="text-align:justify;">The minimum monthly salary for this position is starting at € 3,175.00 gross, overpayment will be considered depending on qualifications and working experience. </div> OUR RECRUITMENT PROCESS <ul><li style="text-align:justify;">Initial Screening: A quick chat with our People &amp; Culture Manager and senior team member(s) to understand your background and expectations.</li><li style="text-align:justify;">1st Interview: Meet the hiring manager and showcase your skills. </li><li style="text-align:justify;">Final Steps: Receive feedback and, if successful, an offer.</li></ul><div style="text-align:justify;">We keep it simple and aim to wrap up the process within 3-4 weeks.</div><div style="text-align:justify;"> </div><div style="text-align:justify;">We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!</div>

World Data Lab (WDL) is a fast-growing data science B2B DaaS scaleup that takes strategic insights and data-driven decision-making to the next level by developing the most credible, global, and granular demographic and consumer spending forecasts. We are trusted by leading organizations such as L'Or&eacute;al, Danone, Est&eacute;e Lauder, Colgate-Palmolive, McKinsey, Deloitte, Barclays, HSBC, Bill &amp; Melinda Gates Foundation, GIZ, and many others. WDL is widely known for World Data Pro, our consumer insights and analytics platform for corporates, as well as for creating public goods, aka clocks, that track UN&rsquo;s Sustainable Development Goals in real-time. Some of our projects include: &bull; population.io &bull; worldpoverty.io &bull; internetpoverty.io You can try out many of our tools here for free: &bull; linktr.ee/worlddatapro Our work has been frequently featured by top research and media outlets, most notably Bloomberg, Brookings, CNN, Financial Times, The Economist, and The Wall Street Journal.

Associate Data Scientist

ABOUT THE TEAM The Data Team is responsible for the creation of our data products. From the processing of input data to creating the methodologies behind our forecasting, the entire pipeline of creating our datasets sits with the data team. The focus of the team is on our four yearly data updates and the incremental improvements that need to be done to our methods and input data. Further, Data Team members will help support the Insights Team on (private sector) client-specific requests that require subsets of our main data products.&nbsp; ABOUT THE ROLE <div>We are looking for an Associate Data Scientist to work closely with our Data Team to translate complex data into standardized input data with the goal of improving our data quality. This role will be focused on data creation, data modelling, and product refinement. This position will primarily work on private sector client tasks.</div> THE CHALLENGE <ul><li>Clean our household budget surveys to ensure we are capturing the right category and spending shares.</li><li>Assist with QAQC, of our key products, including but not limited to World Data Pro, categories data, cities data, and households data.</li><li>Collect and clean national accounts and CPI data.</li><li>Contribute to thought leadership initiatives, including blogs, reports, and presentations.</li><li>Provide technical and analytical support, primarily to our private sector clients.</li></ul> YOUR PROFILE <ul><li>Educational background in economics, data science, statistics, or a related field.</li><li>0-2 years of work experience - recent graduates are encouraged.</li><li>Interest in economic, demographic, or household-level datasets.</li><li>A collaborative mindset and curiosity to learn.</li><li>Familiarity with version control systems (e.g., Git) and collaborative coding practices.</li><li>Experience with data visualization tools such as ggplot2, Shiny, or Tableau.</li><li>Experience with command-line tools or working on remote servers.</li><li>Demonstrated ability to contribute to data-driven projects in a team setting.</li><li>Advanced level English (min. C1).</li></ul><div>Competences: </div><ul><li>Flexibility:&nbsp;As part of your hybrid format, flexibility is expected on both sides.</li><li>Proactive Communication:&nbsp;Provide advance notice of any periods where you may have reduced availability so the team can plan accordingly.</li><li>Collaboration:&nbsp;Engage actively with supervisors and your mentor to ensure smooth task execution.</li><li>Accountability:&nbsp;Take ownership of your tasks, ensuring timely and high-quality delivery.</li></ul> OUR OFFER <ul><li>The opportunity to make an impact in a well-established big data SaaS scale-up.</li><li>Work with leading global client companies.</li><li>Be part of a diverse team of highly motivated and like-minded individuals.</li><li>Opportunity to shape your career through personal development plan supported by the growth opportunities.</li><li>A dynamic, inclusive environment where collaboration with colleagues across the globe is part of everyday life.</li><li>Flexible home office opportunity.</li><li>A centrally located office in Vienna (near Schwedenplatz).</li><li>Vienna transportation ticket - Wiener Linien Pass.</li><li>Regular team events and activities.</li></ul><div>The minimum monthly salary for this position is starting at € 3,175.00 gross, overpayment will be considered depending on qualifications and working experience.&nbsp;</div> OUR RECRUITMENT PROCESS <ul><li>Initial Screening: A quick chat with our People &amp; Culture Manager and senior team member(s) to understand your background and expectations.</li><li>1st Interview: Meet the hiring manager and showcase your skills.&nbsp;</li><li>Final Steps: Receive feedback and, if successful, an offer.</li></ul><div>We keep it simple and aim to wrap up the process within 3-4 weeks.</div><div> </div><div>We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!</div>

Associate Data Scientist

About the Job

About the Company

World Data Lab