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Junior Data Scientist

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Xsolla

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Berlin
  • Quick Apply

AI generated summary

  • You need a degree in a quantitative field, strong problem-solving skills, proficiency in Python or R, basic SQL knowledge, and familiarity with machine learning and visualization tools.
  • You will build and optimize fraud detection models, analyze transaction data, collaborate with teams, conduct A/B testing, and monitor model performance in production to combat fraud effectively.

Requirements

  • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or a related discipline. Relevant certifications in data science or machine learning are a plus.
  • Strong problem-solving skills with the ability to work with large, complex datasets and derive meaningful insights.
  • Detail-oriented, with a solid grasp of statistical analysis and data science concepts.
  • Proficiency in Python or R, with experience in data manipulation and analysis libraries.
  • Familiarity with machine learning libraries and frameworks.
  • Basic understanding of SQL for data extraction and management.
  • Knowledge of data visualization tools for creating dashboards and visualizations.
  • Familiarity with cloud platforms and tools such as AWS, Google Cloud, or Azure is a plus.

Responsibilities

  • Develop and Implement Fraud Detection Models: Build machine learning models to detect fraudulent transactions.
  • Data Analysis and Pattern Recognition: Analyze transaction data to identify anomalies, patterns, and trends indicative of fraud, while continuously refining detection capabilities.
  • Optimize Model Performance: Continuously improve the efficiency and accuracy of fraud detection models, focusing on reducing processing time and enhancing model responsiveness.
  • Collaborate with Cross-Functional Teams: Work closely with data analysts, developers, and business stakeholders to ensure seamless integration of fraud detection models into transaction systems.
  • Conduct A/B Testing and Model Evaluation: Design and run A/B tests to assess the effectiveness of fraud detection models and validate model performance.
  • Monitor Models in Production: Maintain and monitor models deployed in production, adjusting and updating them to stay effective against evolving fraud patterns.

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.

Xsolla's video game business engine helps game developers and publishers operate more efficiently and sell more games.

Entertainment & Media
Industry
501-1000
Employees
2005
Founded Year

Mission & Purpose

Xsolla is a global video game commerce company with a robust and powerful set of tools and services designed specifically for the video game industry. Since its founding in 2005, Xsolla has helped thousands of game developers and publishers of all sizes fund, market, launch and monetize their games globally and across multiple platforms. As an innovative leader in game commerce, Xsolla’s mission is to solve the inherent complexities of global distribution, marketing, and monetization to help our partners reach more geographies, generate more revenue and create relationships with gamers worldwide. Headquartered and incorporated in Los Angeles, California, with offices in Berlin, Seoul, Beijing, Kuala Lumpur, and cities around the world, Xsolla supports major gaming titles like Valve, Twitch, Roblox, Ubisoft, Epic Games, KRAFTON, Nexters, NetEase, Playstudios, Playrix, miHoYo, Pearl Abyss, NCSoft, and more.