Senior Data Scientist

Working at Extenda Retail
We are a growing business with a celebrated Employer Brand that recently got awarded as “The Breakthrough Company of the Year” by Universum and we are on a journey to further expand and become the leading champion of retail technology in Europe.
Extenda Retail is a leading software provider to global retailers. We help major retail chains with their digital business transformation by delivering innovative solutions and services that enable our clients to lead the retail technology revolution. We have an extensive client base across the Nordics and throughout Europe with our solutions being used in over 35 countries.
We offer you a workplace with a young and social work environment where you get exciting and professional challenges and to work alongside colleagues with high competencies.
Your mission
We are looking for a data scientist with experience in decision science, analytics, and/or business intelligence - able to improve and extend our Impact platform.
With your background and experience, you’ll be the driving force behind building the foundational data science analytical culture at Extenda Retail. And by doing so help us in becoming a leading Data Science driven company offering services and solutions using Machine Learning Technology to derive value from retailers assets; today’s ever-increasing data pool.
You will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. also take on Data Engineering tasks or any other tasks as well, to turn the projects you are involved in, into success stories.
Responsibilities
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to datasets.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results to the clients and stakeholders.
Build production-level analytics deliverables using Python, SQL, Tensor flow, Kubernetes.
Deploy and monitor your code in our Google Cloud environment.
Promote data science tools and technologies of your choice.
Be an advisor to the company on Data Security.
Be an AI/ML advocate.



We think you are...
A Strong problem-solving person with an emphasis on product development. You also have a proactive attitude that will bring a significant value to the organization by understanding what future challenges our architecture needs to solve. As you will bridge between teams within the organization it is important that you have the ability to communicate and engage around technology and engineering best practices. We also think that you are a natural leader with an analytical mindset who can use data to evaluate and decide on design options and technology choices




Skills and requirements
4+ years of industry experience in data science with a proven track record in complex and demanding projects and solutions.
Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting, Trees, text mining, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, modeling, clustering, decision trees, neural networks, etc.
Professional experience in working with large, complex data sets (Big Data) from data processing to using mathematical techniques to build a predictive model.
Experience visualizing/presenting data for stakeholders using: Power BI, Tableau, Periscope, D3, ggplot, etc.
Technically capable across a range of technologies (Python, R, SQL, etc.).
Experience working with big data frameworks (HDFS, Spark, Impala, Hive, ..etc.). and/or Cloud (e.g. Azure or Google) and/or Elasticsearch Stack is a big plus.
Experience working with Anomaly Detection or Time Series Analysis is a plus.
Google Cloud Platform and services
Strong experience with building analytics in scalable and production-level stacks and microservices.
Big plus relevant experience within the retail/e-commerce/marketing sector and/or having a background as a Data Engineer.
Fluent in English, verbal, and writing.
Google Professional Machine Learning Engineer certification or similar is a plus



Location
The position will be based in our head office in Solna, Stockholm. The
position may involve traveling to customers and other Extenda Group offices.