Come and join our Product Delivery team in Copenhagen.
As a Model Development Analyst in our Product Delivery team, you will be using data belonging to our customers from their marketing activities and beyond, to build bayesian models with our proprietary software. These models will then be used for future budget optimizations and predictions of business results.
Product Delivery works in close collaboration with the AI team as well as our colleagues in Customer Success. All teams are located in Copenhagen.
The Product Delivery team is the central nerve of our company, as it ensures our customers get access to their models in a timely fashion. The team is one of the main users of our proprietary software that provides customers with in-depth knowledge of their media and marketing performance, and allows them to predict and optimise their future campaigns.
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 across teams, and talk about the latest developments within the industry and current areas of focus.
About the role
As a Model Development Analyst in the Product Delivery team, here is what you’ll typically spend most of your time on:
Bayesian model building using our proprietary autoML- type software
Model validation
Communication of results and model handover to our internal stakeholders
Using expertise from various projects, actively contribute with feedback and suggestions on new features to be developed by the AI team in the efforts to continuously improve and further generalise the modelling platform
About you
We imagine that you are an ambitious Model Development Analyst who takes pride in getting the details right, but at the same time is concerned with the overall outcome. You take responsibility and are eager to learn and grow fast.
Moreover you exhibit some of the following personality traits:
Good communicator
Logical and critical thinker
Ability to work on several customer projects concurrently
Customer oriented mindset
Patient and focused
Sharp attention to detail
Love to learn
Requirements:
A degree in Business Analytics, Econometrics, Statistics, Computer Science, Information Science, Mathematics or relevant experience
Experienced in data analysis and visualization
Domain expertise (media, advertising, marketing)
Theoretical and/or hands-on experience of statistical modelling
Bonus competencies:
Experienced in R or Python but willing to learn R (our modelling tool stack is built in R and RShiny)
Bayesian statistics
Marketing mix modeling experience
Experience in explaining modelling outputs to business stakeholders/non technical audiences
Experience from a technology / product company
Experience with visual autoML software (such as DataRobot, Dataiku, etc)
Version control systems (GitHub, Bitbucket)
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 is 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.
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Easy access and treehugger friendly workplace.
Social gatherings and games; hang out with your colleagues.
Peckish after lunch? We got your back with soft drinks, treats and fruit.
Friday is something special, let's enjoy a beer together.