Business Data Scientist – Master's Student Part-Time Position
Are you a graduate student with good instincts, and a fast learner when it comes to working with data, algorithms, and models without losing sight of the topic being analyzed?
Rooftop Analytics is a three-year old start-up company with a high degree of entrepreneurship.
We mature predictive analytics to perfection. That’s what inspires us, drives our work, and feeds our ambition to deliver the best solutions to our clients.
We see ourselves as Business Data Scientists, as we utilize our capabilities within machine learning, statistics, and economics, and involve domain experts from the field of the assignment. All competences required in order to solve complicated business decision problems applying data analytics.
We provide our competences as consultancy services to clients. This being in an advisory role, in projects, or as customer support. In all cases, we are in close cooperation with the client.
You will be joining a highly motivational team, who are among the best within business data science. You will be working with them on projects and participate in all tasks related to data analytics projects. From considering relevant theory in the domain of the assignment, to prepare data, defining a data model, develop, test and train the algorithm, and in the end to support the implementation and launching period. Often, this work is performed in cooperation with the client’s resources, who we often train and share knowledge with.
Also, there will be internal projects, where you will participate in developing ideas and solutions in a domain area which is new to us. Often, this is with the purpose of presenting the ideas to future clients.
Independent of the type of project, your work is performed in teams, as we believe the best solutions are made, when team synergies come into play. Therefore, we expect that you share ideas, knowledge and skills, and we welcome time spend on this. At the same time, there are tasks in a project which benefits from your individual drive and efforts. Furthermore, there will be tasks overlapping with your curriculum, why you are investing some interest hours in improving your skill in new technics.
We are looking for a master’s student in business, economics, mathematics-economics, statistics, data science, engineering, or computer science, who is eager to learn how to work with large and complicated data sets in the context of solving critical business problems. You must be focused on details and be willing to work on all steps required in a data analytics project. To effectively execute a data analytics project, we expect that you are an organized and responsible individual, who accept to follow our data analytics development method and are able to deliver according to a time plan. As teamwork is key, you will have good collaboration and communication skills.
It's a prerequisite that you have the following competences
It's an advantage if you have the following competences
You will feel the culture of entrepreneurship, when you join. We continuously expand our knowledge and skills within business data science, as we are very persistent in being good at the newest algorithms, techniques, and models. We put time aside to improve.
The position corresponds to 1-2 days a week. The workload will vary depending on customer assignments and project deadlines. At all time, we respect time for finals when required. For us, your study comes first. Therefore, your commitment will be agreed individually, and you will be compensated by hourly rate matching your competences.
The workplace is in Europe. It will be a mix between working from home, client locations, and our main office in Odense, Denmark. We are expanding and establishing satellite group offices within Europe.
Trainee period. All employed graduate students must complete a trainee period. The candidate
will join a team, working together in an internal project. The project's difficulty and period of time depends on the candidate's competence level. The candidate’s effort is partially considered as interest hours.
How to apply. If you think that you are the right match for our team, please send us a motivational letter, diploma and your CV to email@example.com.
Do you have questions, don’t hesitate to contact us. Please contact Birgitte Dahl at mobile +45 20318030 or by maill firstname.lastname@example.org.
Deadline. Again, we receive applications. We process applications on an ongoing basis until 1st. December 2021