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Job description
Responsibilities
In the role as Data Scientist you will be responsible for analysing operational data, mainly from the parcel domain and in contexts such as international cross border logistics etc. The position includes working closely with the business to identify issues and use data to propose solutions for effective decision making. It also includes building algorithms and designing experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers or the wider organization. You will need a collaborative delivery approach to be successful. We prefer to use Agile, and our unit applies a pragmatic approach to SAFe to resolve dependencies and set the pace for development, but we choose the appropriate approach for the product and team. As a data scientist, you will not only write code but also collaborate with solution and enterprise architects, scrum manager and product owner, and line managers to design and define the competencies, processes and technology needed to meet business requirements and architectural strategy. We work towards a vision of MLops and you will be able to have a major to impact on how we get from ad hoc reports and BI to the next level of analytics capabilities!
Our technology is focused on the Azure stack, and examples of some of the existing technical components includes Databricks, Azure Synapse Analytics, Azure DevOps CI/CD, Power BI etc.
We offer you:
- Work in a Nordic and dynamic environment.
- Great occupational pension terms
- Great development opportunities and a continuous learning culture
- Employment in Solna or Copenhagen
- A culture that promotes work life balance
- Generous vacation agreement
- Hybrid workplace with flexible working hours
Qualifications
As a person you are curious to learn and evolve and adapt your skills and tools in accordance with needs of the domain and context that you work in. You are also humble for the fact that creating and maintaining great solutions at scale is a team effort and not an initiative of a few superheroes. The uncertainties and varying responsibilities that follow by joining an organisation that is in parallel delivering and growing, defining its mission, vision, methods and architecture, you embrace as a stimulating challenge, and you enjoy the journey and not only the destination.
We are happy to see that you want to develop in the long term in our team where we can give you good development opportunities and a chance to influence PostNord`s IT future!
Requirements:
- Relevant academic education
- Understanding of data mining and machine learning techniques and algorithms
- Experience with common data science toolkits
- Experience with data visualisation tools
- Proficiency in using query languages such as SQL, experience of databases and data warehouses
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Communicates in English both written and speech
Meritorious:
- Databricks
- AzureML studio or any other cloud based Data science kit
- The specific tool PowerBI or BI reporting in general
- ”Data lake”
- Cloud development
- CI/CD/devops
- SCRUM / agile methodologies
- Data engineering
Application
Selection is ongoing and we want your application as soon as possible. In this recruitment, we collaborate with Randstad Technologies, for questions about the role contact responsible recruitment consultant Julia Rhönnstad, 0729872754, julia.rhonnstad@randstad.se
About the company
PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We ensure the provision of a postal service to households and businesses in Sweden and Denmark. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordic region. We are accountable, brave and committed, effectively leading change regardless if we lead ourselves or others. We emphasize teamwork, sincerity and positive relationships in the workplace. We build on our success and learn from both colleagues and mistakes. People with different backgrounds work with us. You will therefore be part of a workplace with great diversity, which contributes to better results for the business.