Data Scientist (Stockholm Sweden)

Job Title: Data Scientist (Parental Cover) - Retail Analytics & Business Intelligence Team

Duration: 6 months

Role Overview: We are seeking a highly motivated and skilled Data Scientist to join our Retail Analytics & Business Intelligence team for a 6-month parental cover assignment. As part of this role, you will be responsible for contributing to the development and enhancement of analytics solutions that support our retail operations and decision-making processes. You will work closely with cross-functional teams to implement and optimize analytics systems, and your expertise in software engineering and programming will be critical in ensuring the success of various initiatives.

Key Responsibilities:

• Data Science & Analytics Development: Collaborate with the product team to design, develop, and implement proof-of-concept analytics systems that provide actionable insights to support business decisions in the retail domain.

• System Maintenance & Enhancement: Take ownership of the maintenance of current analytics solutions, ensuring system reliability and performance. Continuously improve and upgrade existing solutions by adding new features, optimizing processes, and implementing best practices.

• Data Processing & Analysis: Utilize your strong data manipulation and statistical analysis skills to process large datasets, extract valuable insights, and communicate findings to stakeholders in a clear and actionable manner.

• Programming & Software Engineering: Leverage your expertise in Python, SQL, and related tools to build scalable and efficient data pipelines, perform complex analyses, and develop automation solutions to support data workflows.

• Cloud Integration & Deployment: Utilize Google Cloud Platform (GCP) to deploy and scale analytics applications and solutions. Collaborate with the infrastructure team to ensure smooth integration and maintain system performance in cloud environments.

• Collaboration with Cross-functional Teams: Work closely with other data scientists, business analysts, product managers, and stakeholders to understand business requirements, translate them into technical specifications, and deliver analytics solutions that meet business needs.

• Proof-of-Concept & Experimentation: Lead and contribute to proof-of-concept projects by developing prototype models and running experiments to validate new analytical approaches or technologies.

• Documentation & Reporting: Provide clear documentation of your work, including methodologies, code, and system architecture. Present findings to both technical and non-technical stakeholders and contribute to regular progress reports.

Required Skills and Qualifications:

• Technical Expertise: Strong programming skills in Python and experience working with libraries such as Pandas, NumPy, and Scikit-learn. Proficiency in SQL for data manipulation and querying.

• Cloud Computing Knowledge: Practical experience working with Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage, DataFlow, or similar tools.

• Analytics & Data Science Experience: Proven experience in performing data analysis, building machine learning models, and providing actionable insights in a data-driven environment, preferably within retail analytics or similar industries.

• Problem-Solving & Innovation: Ability to approach complex problems with creative solutions, utilizing both technical expertise and analytical thinking to build robust, scalable, and high-impact systems.

• Communication & Teamwork: Excellent communication skills with the ability to collaborate effectively in cross-functional teams and convey complex technical concepts to non-technical stakeholders.

Desired Qualifications:

• Retail Analytics Knowledge: Familiarity with retail business metrics, customer segmentation, sales forecasting, inventory management, or other relevant retail concepts is a plus.

• Experience with BI Tools: Experience using Business Intelligence tools (eg, Tableau, Power BI) for data visualization and reporting.

This is an exciting opportunity to contribute to innovative analytics solutions in a fast-paced retail environment. If you are a data-driven problem solver with strong programming skills and a passion for working in the retail industry, we encourage you to apply.