Data Scientist (Risk and Fraud Detection) Job Offer at Evolution

Company Description

Evolution is a world-leading, B2B developer and provider of games and services for the online casino industry. With a team of over 11,000 professionals across 20+ locations, we deliver a seamless player experience across mobile, tablet, and desktop platforms, featuring real tables with real dealers in real time. Our brands include Evolution, Red Tiger, NetEnt, Ezugi, and Big Time Gaming, offering multiple award-winning player favorites. Listed on Nasdaq Nordic, Evolution AB has a market capitalization of €25B+.

At Evolution, we thrive on pushing boundaries to deliver a flawless player experience. Our engineering team ensures top-quality products and reliable services with a solid in-house competence. Our modern software stack supports over 270 automated releases per month to our main live environment, running 24/7/365 globally.

Job Description

We are looking for a passionate Data Scientist specializing in risk and fraud detection. You will be crucial in designing and developing machine learning models to enhance our fraud detection capabilities.

Main Duties & Responsibilities:

• Analyze, design, and develop machine learning models for fraud detection use cases.
• Collaborate with business and technical stakeholders to choose the best machine learning solutions.
• Work closely with data engineers to identify and utilize optimal datasets and data representation methods.
• Research and implement suitable machine learning algorithms and tools.
• Develop metrics and evaluation processes to measure model performance and impact.
• Train, test, and retrain machine learning models for improved accuracy.
• Collaborate with team members to deploy machine learning models to production environments.
• Utilize and extend existing machine learning libraries and frameworks as needed.

Qualifications:

• A university degree in a numerical field (Machine Learning, Statistics, Mathematics, Computer Science, Physics, Engineering, etc.).
• Proven ability to understand, interpret, and explain business data.
• At least 3 years of work experience in a data science-related field.
• Solid understanding of linear algebra and statistical modeling.
• Expertise in at least one machine learning field such as regression, classification, clustering, pattern mining, or optimization.
• Fluent in SQL
• Proficiency in Python, particularly with packages such as Pandas, Numpy, and Matplotlib (or equivalent).
• Experience with at least one machine learning framework such as Scikit-Learn, Keras, Tensorflow, Pytorch, or MLLib.
• Highly proficient in spoken and written English.
• Excellent communication skills and a pragmatic approach to problem-solving.
• A strong willingness to learn and stay updated on the latest trends in programming and machine learning.

Nice to Have:

• Knowledge of Scala or Java.
• Experience with deploying ML solutions to production.
• Experience with AWS or other cloud providers.
• Experience with Spark, Athena, Clickhouse, Postgres, Kubernetes, Docker.

We Offer:

• Gross monthly salary from 3320 EUR to 6420 EUR.
• An entrepreneurial culture, allowing for new approaches and technologies.
• Recognition from the business leading to competitive salaries and a supportive attitude.
• A mix of startup-like culture and enterprise stability, with supportive functions.
• Modern and developer-friendly delivery processes, including Agile (Scrum / Kanban), JIRA, Confluence, GitLab, Jenkins, and modern hardware and software.
• Being part of an international team in a successful, publicly-traded company.
• Health insurance, contemporary office environment, tech conference attendance, training, hackathons, 24/7 company gym, and other benefits and perks.

Join us at Evolution and become a part of our innovative team focused on pushing the limits of the online casino industry!