FAQs
What is the main focus of the Junior Data Scientist role at Xsolla?
The main focus is leveraging data to drive business insights, improve decision-making, and create predictive models, particularly aimed at tackling fraud.
What qualifications are required for this position?
A Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or a related discipline is required. Relevant certifications in data science or machine learning are a plus.
What programming languages should I be proficient in for this role?
Proficiency in Python or R is required, along with experience in data manipulation and analysis libraries.
Is experience with machine learning libraries necessary?
While not mandatory, familiarity with machine learning libraries and frameworks is beneficial for this role.
Will I be working with other teams at Xsolla?
Yes, you will collaborate with cross-functional teams, including data analysts, developers, and business stakeholders, to integrate fraud detection models into transaction systems.
What kind of projects will I work on as a Junior Data Scientist?
You will work on developing and implementing fraud detection models, conducting data analysis and pattern recognition, and optimizing model performance.
Are there opportunities for professional development at Xsolla?
Yes, Xsolla supports personal and professional development through in-house training, independent study, conference attendance, and higher education opportunities.
What is the work-life balance like at Xsolla?
Xsolla offers unlimited Flexible Time Off and 28 paid holidays each year, promoting a strong work-life balance.
Do I need experience with SQL for this position?
A basic understanding of SQL for data extraction and management is required.
Is this position open to applicants outside of Europe?
No, this position is open to candidates from the whole of Europe only.