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!

About the Role

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

Key Responsibilities

• 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

Your Qualifications

• 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

What we offer

● 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.

Contact Information

For information on the role, you can contact: amira@acmetric.org

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

About acmetric

acmetric is a boutique data science consultancy that was founded in 2021 by a small group of scientists and industry professionals with a passion for the intersection of business and data. Since then, the team has grown constantly but is kept united by a mindset that values creativity, curiosity, and the power to innovate.

Our team includes individuals from diverse nationalities and academic backgrounds, driven by a shared eagerness to achieve what is needed to make a difference for our clients, and acmetric. We leverage cutting-edge technology, science and deep industry knowledge to drive strategic growth and deliver measurable outcomes for our blue-chip clients worldwide. With our experience in sectors like consumer goods, mobility, and professional services, combined with our research mindset and expertise in analytics, machine learning, and AI, we turn data into magic.

At acmetric, we take pride in our non-hierarchical setup, where every voice is valued and heard. We foster a strong performance culture and believe in rewarding those who go above and beyond to help us achieve our goals. Our ambition is to grow further and become Europe's leading data science consultancy. This means that there are ample opportunities for career advancement for those who share our values.

We are looking forward to hearing from you!

Thank you for your interest in acmetric and the vacant role. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to the contact person mentioned in the job description.

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