JOB OPENING
Associate Data Scientist
We are looking for an English-speaking Data Scientist to join our team
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Do predictive analytics, automatic workflows, and Machine Learning excite you? Are you ready to grow your career in the Data Science field and help shape the future of the automotive industry? If so, we have an exciting opportunity for you to join our team as a Data Scientist Associate.
We are a high-growth SaaS and analytics company that works predominantly in the automotive industry, where we bridge the gap between data and insights, providing our clients with the necessary tools and intelligence to make informed decisions and optimize their operations. We build automations and utilize prediction models for our prestigious clients so they can take action on data. We work with the biggest clients in the industry such as Audi, VW, Porsche, SKODA, Seat, Peugeot, Opel, Suzuki, KIA and Citroën.
We are looking to hire a part-time/full-time Data Scientist to join our growth journey and help us to continue to deliver outstanding products and services to our customers.
The Position
As a Data Scientist Associate at ag analytics, you will be able to leverage your analytic skills to gain insights from a diverse range of data sources. With a focus on both analytic and technical aspects, you will take part in a wide range of projects, helping you to develop a diverse skill set and advance your career. You will be working in our Data Science department, where your main tasks will include:
- Preparing data flows using R and Python
- Running and building automations
- Creating new integrations using APIs
- Testing and optimizing work-flows
- Creating predictions using Machine Learning
- Working on ad hoc data projects
With exposure to a wide range of industries and technologies, you will have the chance to expand your knowledge and develop your career in a dynamic and challenging environment.
About you
You have a background in data science, statistics, mathematics, engineering, computer science, or other relevant scientific education. You have experience with R and Python and are curious to know more and develop your skills within both Data Science and Data Engineering. You can be a student, newly graduated, or have experience from similar roles.
At ag analytics, we believe that passion is the key to success. We are not just looking for individuals with a specific set of hard skills; rather, we are seeking individuals who are truly passionate about data analytics, technology, and making a difference in the world. We believe that with the right mindset and drive, skills can be developed and honed over time.
Our clients expect the best from us, so we expect you to be a self-starter, take responsibility, and keep deadlines. You take ownership of your tasks, you are curious and willing to learn and improve. You work in a structured manner, have an eye for detail and ensure we always deliver the highest quality.
Skills and qualifications
- Data manipulation and analysis
- Good knowledge of programming languages such as R and Python
- Good understanding of data flows
- Preferably 1-2 years of practical experience (full-time or part-time)
- Highly structured and best-practice programming knowledge
- Good verbal and written English skills
Nice-to-have
- Experience working in a Scrum environment
- Machine Learning projects (classification, regression, NLP)
About Us
ag analytics is an international scale-up with a team of over 20 employees across Denmark, Norway, Finland, and Sweden who are passionate about predictive data analytics. Our offices are on Højbro Plads in the tech start-up community Matrikel 1. We are highly focused on delivering best-in-class solutions to our customers while learning and developing at the same time. We have an informal and relaxed team atmosphere with team events, breakfasts and Friday bars.
How to apply
Please apply here.
We interview on an ongoing basis so please apply as soon as possible.
If you have any questions about the role, please contact our Head of Data Science, Oskar Riewe-Perla at orp@aganalytics.dk. We look forward to hearing from you.