Decision Scientist

Are you an experienced Decision Scientist with a strong background in statistics and econometrics?
Do you combine excellent knowledge of statistical inference and modelling, with a thorough understanding of business issues? And do you want to work with state-of-the-art methodology in a quickly growing startup with more than 50% PhDs and ample growth opportunities? Then read on!This vacancy is for a consultancy role in decision sciences. You will work on projects for our blue chip clients in a cross-functional team with other data scientists and engineers. Within the team you will be responsible for:

• The implementation of state of the art statistical techniques to enable decision making through the identification of causal effects within observational and experimental data
• Communicating insights and findings to stakeholders through visualisations, presentations, and reports

The ideal candidate will also

• demonstrate an inquisitive and entrepreneurial mindset to help us further grow acmetric
• stay up-to-date on the scientific literature, in econometrics, statistics, and machine learning
• be eager to apply new techniques (in these disciplines) and tools to improve decision-making processes

• conduct econometric and statistical modelling to support decision-making
• contribute to the design, development and implementation of 
  • statistical methods to infer causal effects from observational data
  • statistical experiments and A/B tests
  • data-driven processes and methodologies
  • data infrastructure
• provide and communicate actionable insights
• determine the requirements to solve the business needs of our clients

• Academic degree in relevant field (preferably statistics or econometrics)
• 3-5 years of relevant work experience in a professional, project-oriented (profit) organisation
• Proven track record with topics such as causal inference, panel data models and quasi-experiments
• Strong communication and presentation skills
• Ability to work and communicate fluently in English
• Based in the Netherlands and the will to work 1-2 days/week from our office in Amsterdam

● We work at the forefront of data science, machine learning, and AI.
● You will be part of an ambitious start-up with a passion for strategy, data and, academic research.
● You will be given opportunities to further develop your professional and personal capacities.
● Salary depending on qualifications and expertise.
● Secondary benefits: the possibility to work from home, an allowance for travel and mobile expenses.
● An informal and creative working environment, with room for initiative and ideas.For information on the role, you can contact: [email protected]

Profiles brought forward through recruiting or other advisory parties will not be taken into consideration.