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Data Scientist at MMS
Friday Väst ABStockholms län, Stockholm
Previous experience is desired
7 days left
to apply for the job
Every day, enormous amounts of moving images are consumed – but how do we actually measure what is seen, when, and by whom? As a Data Scientist at MMS, you will dive into just that question. You combine statistics, programming, and analysis to develop models that show how TV and streaming are actually consumed. Here, you will work at the intersection of media and IT, where your expertise will be crucial in creating insights that shape the future of viewership measurements. Do you enjoy solving complex problems with code, databases, and mathematics? Then this could be your next challenge!
ABOUT THE POSITION:
MMS is a cutting-edge company that is constantly evolving and is close to the latest technology. They value their corporate culture and encourage personal development, while also offering a challenging role focused on high quality. Here, you will receive good benefits, a centrally located office, and the opportunity to work in a dynamic and future-oriented environment.
RESPONSIBILITIES:
As a Data Scientist at MMS, you will be an important link between media and IT. You will provide data that contributes to relevant analyses of how many people actually watch TV and other moving images. Your work will involve understanding and developing statistical models, creating new metrics, and transforming them into efficient flows. You will also ensure that the census flow is improved and build automatic validations.
Part of the role involves communicating methodological issues both internally and externally. You need to be able to explain and justify methodological choices in a pedagogical manner. Additionally, you will support their supplier in the development of model-based viewership figures, which requires an interest and a comprehensive understanding of machine learning models. In the long term, MMS will also explore AI and ML to further develop their flows and models.
WE ARE LOOKING FOR YOU WHO:
To thrive in the role, we see that you have experience in:
- Relevant post-secondary education
- A programming language for data analysis, such as Python or R
- SQL and practical experience working with databases
- Fluent in both Swedish and English, spoken and written
It is also an advantage if you have experience with – or are interested in learning about:
- Development within cloud platforms such as Microsoft Azure
- Development and deployment of data pipelines
- Development and maintenance of Power BI reports and/or SSAS models (knowledge of DAX is a plus)
As a person, you are analytical, meticulous, curious, and interested in learning new things. You enjoy analyzing large amounts of data and are driven by finding potential correlations and understanding causes.
ABOUT THE EMPLOYMENT:
This is a direct recruitment where you will be employed directly by MMS.
OTHER INFO:- Scope: Permanent
- Start: By agreement
- Location: Stockholm (near Hötorget)
- Recruitment Responsible: Anna Persson
- Salary: Competitive
Apply by clicking the link below. Remember to be quick with your application as we are conducting ongoing selections of candidates and the advertisement may close before the position is filled if we have moved on to the selection and interview phase.
ABOUT FRIDAY:By being a partner to both our candidates and clients, we strive to find the best match. We do this by getting to know our clients and candidates for real! We of course ensure that knowledge and experience requirements match, but above all, we emphasize a shared understanding of values and corporate culture that both parties value.
Our passion is to help people find the right role, workplace, and context within IT and technology. That’s why we founded Friday with the ambition to help you find the job that gives you that Friday feeling – every day!
We primarily target those who are at the beginning of their careers or studying at university/college in IT and Technology.
Our conviction is that people reach their full potential when they look forward to going to work every morning. “Friday – everyday”, how does that sound?
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