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.

Responsibilities

• 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.

Requirements

• 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.

Apply for Data Science Lead