Senior Software Engineer (Data Science) (#3492)

REFERRAL BONUS
$1000
WELCOME BONUS
$2000
Poland, Ukraine
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

*not applicable for freelancers

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