Data scientist

This renowned clothing retail chain has significantly advanced in IT and ecommerce sectors. By leveraging cuttingedge digital technologies it efficiently manages its extensive network of physical stores and online platform. Investments in sophisticated inventory management systems and data analytics have optimized both logistics and customer personalization. The brands ecommerce site offers a seamless and secure online shopping experience increasing its appeal among consumers who favor digital purchases. Additionally it actively employs social media and digital marketing strategies to enhance customer engagement and brand presence in the digital realm.

This company stands out for its commitment to sustainability integrating ecofriendly practices into both its products and operations. It has launched several initiatives to reduce environmental impact such as using recycled materials in its clothing lines. The brand is also known for its collaborations with highprofile designers and celebrities creating exclusive limitededition collections that generate significant buzz and attract a diverse customer base. In terms of innovation it has experimented with virtual reality in stores and AI in customer service enhancing the shopping experience. Additionally the company is recognized for its social responsibility programs supporting various global causes and community projects.

We are looking for aData Scientistto join our client Predictive Operations team.The consultant will support in HiDF product team as a data scientist. The team develops and implements forecast models.

Remote: 50%

Tasks:

• Combine explore and derive insights from large and complex data assets across various business departments.
• Solve intricate problems and assist others in doing so by transforming extensive data into actionable business insights through advanced analytics modeling and machine learning.
• Lead projects involving exploration of large data sets experimenting with new algorithms feature engineering evaluating model outputs and deploying scalable solutions for production use.
• Develop tools and frameworks to address common challenges such as model traceability feature reuse and A/B testing.
• Work collaboratively in a crossfunctional agile team comprising skilled engineers data scientists and business stakeholders to build and enhance the companys AI ecosystem.

Requirements:

• Possess a degree in applied mathematics statistics physics engineering or a related field with a strong commitment to continuous skill development.
• Be handson a practical problem solver excelling in addressing business challenges using data machine learning and optimization models.
• Ability to understand business requirements generate insights and communicate effectively both orally and in writing.
• Proven experience in the field of data science.
• Capability to independently implement algorithms and models into production using at least one programming language with support from machine learning engineers.
• Always seeking ways to automate and simplify existing solutions.