Data Science Lead
Remote /Full time
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Squro is a dynamically developing IT product company that provides a wide range of high-quality FinTech products, solutions, and services. In our work, we use modern development methodologies and an efficiently organized project management system. This approach allows us to sell high-quality and popular products.

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations in the fin-tech industry that remain our basis for success. The company has a European financial license and works with global partners.

We are currently seeking a Data Science Lead to help us to build a strong Data Science team from scratch that will develop services from the ground up.


  • Review and understand the data, including checking logic and cleaning outliers as needed;
  • Carry out feature engineering, using different techniques of feature preparation, transformation, normalization, or generation;
  • Conduct model training and evaluation, developing pipelines for model training and experimenting;
  • Be responsible for model monitoring and maintenance;
  • Work alongside engineers, and product teams to help develop a core suite of data products and services;
  • Communicate with both technical and non-technical audiences to gather requirements and present findings;
  • Engage with research and business stakeholders and help drive AI/ML strategies and identify areas where business problems that can be solved in creative ways utilizing data and the power of algorithms;
  • Oversee operational support and maintenance of products and services delivered by the AI/ML team;
  • Develop team members.


  • 4+ years of data science experience;
  • 2+ years of team management experience;
  • Master’s degree or higher in Computer Science/Mathematics/Physics/Electric engineering or equivalent;
  • Strong experience in software engineering in Python;
  • Ability to build applications and familiarity with best practices such as CI/CD, testing, and coding standards;
  • Experience in machine learning platforms, frameworks, and libraries;
  • Deep understanding of classic models like linear regression, logistic regression, or gradient-boosting decision trees;
  • Good understanding of mathematical statistics and probability theory;
  • Strong knowledge of SQL, including complex queries and analytic functions;
  • Experience with cloud platforms;
  • Research mindset and math-oriented intelligence;
  • Have a problem-solving mindset and focused on obtaining the result;
  • English level – Intermediate+.

We offer

  • Opportunity to work with international markets;
  • Our processes are tailored to enable remote work and flexible work schedule;
  • Competitive salary;
  • 20 paid days off throughout the year to travel and rest;
  • 10 paid days off throughout the year if you get sick;
  • Company Library;
  • Friendly and goal-oriented working environment.

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