Data Scientist

1 miesiąc temu


Warsaw, Polska myGwork Pełny etat
About the Role

This is a unique opportunity to join Awin Global as a Data Scientist, working with a diverse team to drive business growth through data-driven insights.

As a key member of the team, you will be responsible for analyzing complex datasets, developing predictive models, and collaborating with Data Engineers to ensure data quality and consistency.

With a strong focus on machine learning and statistical methods, you will work closely with stakeholders to extract actionable insights and drive business decisions.

This is a challenging and rewarding role that requires a strong analytical mindset, excellent communication skills, and a passion for data-driven decision making.

Key Responsibilities
  • Analyze and interpret complex datasets using statistical methods and machine learning algorithms
  • Develop, test, and deploy predictive and classification models
  • Collaborate with Data Engineers to clean, preprocess, and structure data
  • Create and optimize features for models, building reusable pipelines
  • Document processes and methodologies clearly, and present results and insights to stakeholders
Requirements
  • Bachelor's degree or higher in Statistics, Mathematics, Data Science, or Data Engineering
  • 4+ years of experience working as a Data Scientist, AI/ML Engineer, or Data Engineer
  • Strong knowledge of AI/ML frameworks and libraries, including Python, R, and similar programming languages
  • Excellent understanding of AWS or Azure data engineering pipelines
  • Solid knowledge of database and dimensional modeling technologies
  • Familiarity with Scrum and Agile practices
What We Offer
  • Flexi-Week and Work-Life Balance: a flexible four-day workweek at full pay, with no reduction to annual holiday allowance
  • Remote Working Allowance: a monthly allowance to cover part of running costs, with support for setting up a remote workspace
  • Flexi-Office: international culture and flexibility through hybrid/remote work possibilities
  • Meal Vouchers: a net sum to spend on lunches
  • Health & Wellbeing: insurance covering health, vision, and dental treatments for you and one additional family member
  • Remote Working Furniture Package: a furniture package after 3 months of employment to set up a proper workplace
  • Appreciation: a peer-to-peer program to thank and reward colleagues

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