Join a growing team of Data Scientists transforming marketing for some of the world's largest brands!
Join a team of expert Data Scientists and Consultants at Choreograph, a GroupM company, revolutionizing marketing for the world's biggest brands. We transform data into powerful solutions for complex media and marketing challenges, leveraging cutting-edge techniques like econometrics, algorithmic media buying, and strategic consulting. At Choreograph, you'll be at the forefront of industry innovation, partnering with leading advertisers, publishers, and tech companies to shape the future of marketing. This role offers unparalleled opportunities for professional and personal growth.
We are a team with an entrepreneurial drive. Professionally, we believe that you are a recent graduate or have worked for a few years in data science or analysis.
What you will do:
As a Data Scientist on our team, you will:
- Develop and implement data-driven solutions for a variety of projects, including econometric modeling, attribution analysis, experimental design, algorithm development, and other data science initiatives.
- Analyze large datasets, extract actionable insights, and package findings into compelling presentations for clients.
- Collaborate with project teams to drive the development of automated reporting, algorithms, and other data science deliverables.
- Contribute to a culture of innovation and continuous improvement within the team.
What you will bring:
- A strong academic background in mathematics, statistics, or a related field (e.g., cand.merc.(mat), cand.oecon, scand.polit, Master's in Mathematics).
- Proven experience or academic projects demonstrating proficiency in regression analysis and econometric modeling.
- Proficiency in statistical software such as R and Python. Experience with Power BI is a plus.
- Excellent communication and presentation skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
- A proactive and entrepreneurial mindset, with the ability to work independently and as part of a team.
- Strong analytical and problem-solving skills, with a keen eye for detail.
- Fluency in English. Danish language skills are highly desirable.
- Experience with cloud environments (e.g., AWS, Azure, GCP) is advantageous but not required.
Why Choreograph?
- Impactful Work: Contribute to innovative projects that directly impact the success of leading brands.
- Growth Opportunities: Develop your skills and advance your career within a supportive and collaborative environment. Gain exposure to cutting-edge technologies like cloud computing, machine learning, and automated data activation.
- Dynamic Culture: Join a fun, casual, and social team that values collaboration and work-life balance. Enjoy regular social activities, from padel tennis and functional training to Friday afternoon socials.
- Mentorship & Training: Benefit from ongoing training and mentorship from experienced colleagues.
About Us:
At Choreograph, a GroupM company, we are more than just a business intelligence consultancy. We are a team of passionate data experts driving real-world results in marketing effectiveness, customer insights, econometric modeling, and digital transformation.
Our Data Science team thrives in a collaborative environment with a vibrant social culture. You will get excellent training from day one and have opportunities to expand your skillset in cutting-edge areas like custom algorithms, cloud technology, and machine learning. We value a supportive and social atmosphere and believe in continuous learning and development within a fun, friendly team.
This is a full-time, permanent position based in Copenhagen. Apply now with your CV and cover letter as well we expect you to share your grades from bachelor's and Master's (any issues uploading, just follow up by email to [email protected], thanks).
Contact:
For questions about the position, don't hesitate to get in touch with Simon Backlund, Senior Data Scientist & Team Lead, at [email protected] (Please submit applications through the official channels, not via email. However, please send your ).
