Come join our AI team in Copenhagen. As a data scientist in the AI team, you will help us develop and improve our machine learning engine and our AI product. We offer you a vibrant environment where you have the opportunity to learn about cutting edge technologies, experiment, and create while working with cool, autonomous teams.

As a data scientist in the AI team, you will help us develop and improve our machine learning engine for producing state of the art hierarchical probabilistic graph models in a scalable fashion. While we believe our technology is currently “best in class”, we have a multitude of planned R&D projects that require strengthening our team.

We offer you a vibrant environment where you have the opportunity to learn about the most cutting edge technologies, experiment and create while working with cool, autonomous teams. We value learning and knowledge sharing, and have a journal club for discussing scientific papers and math details.

Our team works in close collaboration with software engineers in the platform development team as well as colleagues in product delivery and customer success. All development teams are located in Copenhagen.

About the role

As a Data Scientist in the AI team, here is what you’ll probably spend most of your time on:

• Develop new features to our framework that allows for improved model accuracy, improved model generality, improvements of compute requirements.

• Contribute and develop automated visualisations/dashboards/reports with relevant output statistics of the model and data.

• Collaborating with teams that utilise the models.

• Being a team player (R&D teams in Blackwood Seven are self-managing and we like people who take initiative and are self-driven);

• Write code that eventually goes into production.

Specifically, you will have the opportunity to work with and master the following domain areas and technologies:

• Bayesian Inference and hierarchical models.

• Model based machine learning.

• Optimization implementations using Stochastic Gradient Descent.

• Integer programming for use in optimization problems.

• Result extraction from blackbox models.

• Computational Graphs used to build machine learning models.

• Containerisation and deployment using Docker and Kubernetes.

About you

We imagine that you are an ambitious data scientist who takes pride in getting the details right, but at the same time are concerned with the overall outcome. You take responsibility and are eager to learn and grow fast.

Requirements

• A masters degree within the field of machine learning, a PhD in math, physics, computer science, statistics, engineering or similar, or extensive relevant experience outside academia.

• Extensive experience in data analysis and modelling.

• A self-starter, a good communicator, and willing to present and advocate the team’s work to other teams.

• Experienced in R, Python, Matlab or similar.

• Experienced in visualising complex data

Bonus competences:

• Experience with probabilistic programming languages such as STAN, PYRO or PyMC3.

• Experience with optimization problems.

• Knowledge of AWS, Docker and Kubernetes technologies.

If you see yourself as a part of our team at Blackwood Seven and believe that you can contribute something valuable, apply for the position!

About Blackwood Seven

Blackwood Seven has built a Media AI Platform for providing key insights of a company’s media investments, optimizing future media investments and predicting future business results. That is, our platform provides information such as: “Was TV advertisement more effective than my online campaign?”, “Did my increased advertisements spending last month pay off?”, “Was 2019 marketing more effective than 2018?” and “what is the optimal spending of a campaign during the coming winter period?”. The platform applies artificial intelligence and machine learning to media planning across all offline and online media channels.