Data Scientist

Annalect is looking for two Data Scientists with an interest in marketing!

About the Role

Annalect is the leading marketing analytics provider in the Nordic region. We are growing rapidly and are currently looking for two Data Scientists. In the role of Data Scientist, your primary responsibility will be to estimate media effectiveness using a hierarchical time-series model within our proprietary R framework. Depending on your interests and skill set, you may focus either on a more client-facing role—where the emphasis is on statistical interpretation and communication with internal and external stakeholders—or on a more technical role, which also involves building robust data pipelines.

About Annalect

Annalect is part of the Omnicom Media agency network and employs over one hundred people across the Nordics. Our mission is to optimize marketing performance for some of Sweden’s largest advertisers. We use a broad range of statistical methods, primarily media mix modeling and attribution modeling, but also A/B testing, machine learning, and other analytical techniques.

To Succeed in This Role, You Should Have:

• At least a bachelor’s degree in statistics, mathematics, physics, economics, or a related field
• Strong skills in statistical programming using at least one programming language (R, Python, SQL, etc.), and preferably solid foundational knowledge in computer science (data structures, algorithms, database management, etc.)
• Strong knowledge of statistics in general, and econometrics in particular
• An interest in both predictive modeling and causal inference.
• A strong ability to explain results from statistical models to a broad audience
• Excellent communication skills in English, written and spoken
• Experience working with data pipelines and APIs.
• Experience with AWS, GCP, or similar cloud services is considered an advantage

We are open to both newly graduated candidates and professionals with a few years of experience. Knowledge of the media industry is a plus, but not a requirement.

Application

We conduct interviews on an ongoing basis, and the position may be filled before the application deadline.

For questions about the role, please contact:

Pär Villner, Data Science Lead – [email protected]

Pedram Kasebzadeh, Senior Data Scientist - [email protected]

David Rindelöv, Managing Director – [email protected]