Senior Data Scientist

Opportunity

In Twill, we’re on a mission to create a world where products and services can flow freely for everyone! We’re working to crack the code to digital logistics by taking away complexities and levelling the playing field for entrepreneurs so nothing stands in their way when it comes to internal trade.

Fast and accurate insights and automated decision making are integral to realizing this vision, and data science plays a key role in removing operational complexities and creating an easy and intuitive user experience that allows non-experts to navigate international logistics.

At Twill, digital marketing drives business growth. We use customer data and machine learning to power personalized customer communications. Our end vision is to create a smart ecosystem to provide bespoke content across channels. Marketing data science is a key component in this where it will inform decisions and accelerate customer growth, engagement and retention.

You’ll work alongside a team of curious and self-starting technical creatives interested in solving real-world problems. We plan as idealists and execute as pragmatists, we have a bias for action, we believe that innovation is our differentiator and we celebrate our successes together.

No prior knowledge of logistics needed, we will help you learn what you’ll need to succeed.

The role

As a senior data scientist in marketing automation you will work in the cross-functional marketing automation team consisting of data science, engineering, product and marketing. You will leverage advanced statistical modeling, machine learning and large-scale distributed processing to develop our marketing automation systems, performance measurement frameworks and experimental designs In collaboration with team members, you will define how to instrument our online logistics platform to extract the right signals and build impactful, integrated datasets and repeatable processes for analyzing data and building systems.

You should have demonstrated ability to make sense out of large, integrated datasets, build statistical and machine learning models on top of these data sets. You should also have experience in collaborating with engineering to put these models into production following best practices. We are primarily looking for a strong technical profile with an inquisitive mind who is keen to contribute to our mission; a pragmatic team player that gets involved wherever the team needs and who can be our expert on all things data and machine learning in the marketing domain. While prior marketing experience would be preferred you don’t have to be an expert, there will also be marketing subject matter experts in the team.

We’re about to start the execution our ambitious agenda for marketing automation which will redefine what this looks like for logistics, and you will have the opportunity to significantly shape this key focus area. As you help get this off the ground you should also expect some bumps along the way: we need to discover how to best reach the goal together. To support this, our culture encourages everyone to contribute wherever they can, which naturally leads to roles which are broader or T-shaped in nature. Therefore, in addition to working with data, you should also be comfortable working on a team with a shared mission for which data is only one of several parts, to engage with different stakeholders like marketing, product and engineering and to contribute to defining the way marketing automation and performance is defined and calibrated.

Key responsibilities & requirements

• You will play a key role in the marketing automation team, taking ownership of our existing lead scoring model and performance measurement systems and developing additional propensity models as well as measurement and monitoring solutions
• Your primary responsibility is to develop, test and deploy data science solutions together with the team. In addition to the topics mentioned above, this can range from building integrated data sets over analyses to dashboards and machine learning models
• We expect you to be able to lead model development end-to-end incl. MLOps (problem formulation, modeling approach, implementation, testing and monitoring), ideally with some experience with propensity models. You’ll probably have at least a couple of years of hands-on experience with this, but the domain in which you have done this is less important. We expect you to be able to work with our tool stack (Python, SQL, Spark, databricks, incl knowledge of common python data science libraries)
• Experience with a common dashboarding technology (we use PowerBI)
• Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD
• Team player, eager to collaborate

Nice to haves

• Experience with marketing and/or marketing automation
• Experience propensity models in some commercial domain
• Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…)
• Experience with Spark or other distributed compute paradigms
• Experience with concepts such as experimental design and cohort analysis
• Experience with online learning (e.g. Thompson sampling, multi-armed bandits)
• Hands-on experience with mlflow, Kubernetes, Docker, Grafana, MongoDB
• Research experience

The team

Our technical organization currently has about 35 members of which the data science team has 5. The whole Twill team consists of the best and brightest across fields, from industry experts to designers and to developers. We are united by a single mindset which encourages creativity, risk-taking and a “take charge” attitude.

Additional reasons why you should join us

• A challenging position in a young, small fast-growing and ambitious company
• The opportunity to join digital marketing as it is about to execute our ambitious marketing automation agenda. This is an opportunity to significantly influence the initiative that will likely redefine marketing automation in logistics
• Fun is very important to us. Getting outside the office for team days part of the job
• Freedom to take your own initiative and responsibilities. In fact, we celebrate failures
• We meet up with our colleagues in other locations regularly
• Monthly “Crazy Friday” to work on whichever idea you think could be cool
• The opportunity to engage in the Maersk communities of data scientists and data engineers. In addition to sparring, these organize knowledge sharing and journal clubs
• The opportunity to collaborate with the Maersk data science research team, and to bring state-of-the-art research into our products

Additional details

The role is available in either The Hague, The Netherlands or Copenhagen, Denmark. Relocation will be considered.