Work type: Office/Remote Technical Level: Senior Job Category: Software Development Project: Global fashion retailer
We are looking for a Data Scientist with a strong analytical mindset and a passion for solving real-world supply chain problems. You will join a cross-functional team focused on optimizing the flow of units from warehouses to stores. This is a high-impact role where your insights and models will directly influence key business operations.
Responsibilities:
Prepare and clean datasets to enable reliable experimentation
Develop and fine-tune machine learning models and algorithms
Test models, analyze outcomes, and generate actionable insights
Communicate findings to stakeholders through reports and visualizations
Propose data-driven solutions and optimization strategies
Requirements:
Proficiency in Python and/or R
Experience with SQL
Data Platforms & Tools
Hands-on experience with Azure Databricks or Snowflake
Familiarity with building and deploying machine learning pipelines is a strong advantage
Java experience is a plus
Education - Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field
Mathematics & Statistics:
Solid understanding of multivariable calculus and linear algebra
Applied knowledge of statistical distributions and hypothesis testing
Machine Learning
Practical knowledge of ML techniques: kNN, decision forests, regressions, MLE, time series
Understanding of model evaluation metrics and performance tuning
Data Handling & Visualization
Skilled in managing missing or inconsistent data
Experience with tools like matplotlib, seaborn, or ggplot2
Nice to Have:
Experience with deploying ML models into production environments
Previous work in supply chain or logistics domains
We offer*:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
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