Data Scientist (Risk and Fraud Detection/ML)
The vacancy is well-structured with clear responsibilities and requirements, though some details on payment terms and company links are lacking.
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Overview
Join Evolution as a Data Scientist to develop machine learning solutions for risk assessment and fraud detection. Collaborate with teams to drive impactful data-driven insights. Evolution is a multinational business at the forefront of the online gaming industry. We have an extensive track record of number 1s and are always looking for great people to help us create the next big product hit. Our team of 1,000+ engineers operates out of 8 engineering hubs running code 24/7/365 to serve users around the world. This is run through a modern software stack supporting over 250 fully automated releases per month to our main live environment. We believe in building in-house competence and agile work processes so that we can deliver on our Engineering mission: A flawless player experience.
Main Duties & Responsibilities
- •Develop and optimize machine learning models for fraud detection and risk assessment.
- •Partner with business and technical stakeholders to identify the best ML approaches for real-world challenges.
- •Work closely with data engineers to source, preprocess, and structure high-quality datasets.
- •Define performance metrics and evaluation frameworks to measure model effectiveness.
- •Continuously train, test, monitor and refine models to ensure accuracy and scalability.
- •Collaborate with team members to deploy machine learning models to production environments.
- •Extend and optimize existing ML libraries and frameworks as needed.
We offer
- •Gross monthly salary from 4400 EUR to 6400 EUR.
- •A healthy mix of startup-like culture of the company, which enables us to try new approaches and technologies, and remain on the edge of technological development and enterprise, with stability and supporting functions to help you focus on your job.
- •Modern and developer-friendly delivery processes, including Agile (Scrum / Kanban), JIRA issue tracking, Confluence wiki, GitLab source control, Jenkins continuous integration and delivery, modern hardware and software for development (an IDE of your choice).
- •Being a part of an international team in a successful, publicly traded company.
- •Health insurance, contemporary office environment, development opportunities, hackathons, and other benefits and perks.
Qualifications
- •A university degree in a numerical field (Machine Learning, Statistics, Mathematics, Computer Science, Physics, Engineering, etc.).
- •4+ years of work experience in Data Science, Machine Learning or related field.
- •Strong expertise in ML techniques (supervised/unsupervised learning, deep learning, NLP, etc.).
- •Solid foundation in linear algebra, statistics, and probabilistic modeling.
- •Fluent in Python, SQL, and Python ML libraries such as Scikit-Learn and PyTorch.
- •Excellent communication skills (fluent English) and a problem-solving mindset.
- •Passion for staying updated on the latest AI/ML trends and technologies.
Nice to Have
- •Experience with Scala or Java.
- •Familiarity with Big data processing frameworks such as Spark, Athena, ClickHouse.
- •Experience with deploying ML solutions to production.
- •Experience with AWS or other cloud providers.