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Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)

Evolution·€3,400 – €6,400

Primary stack

Scikit-learnMachine LearningPythonPyTorchSQL

Nice to have's

ScalaJavaSparkAthenaClickHouseAWS

Job description

About the Position

Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)

We are looking for a talented Data Scientist to join our Data Science team, where you’ll design and develop machine learning solutions to enhance risk assessment and fraud detection. In this role, you’ll leverage data-driven insights to build robust models, collaborate with cross-functional teams, and deploy scalable solutions that drive real-world impact.

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.

Requirements

  • 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.

We Offer

  • Gross monthly salary from 3400 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.

About the Company

Evolution ir daudznacionāls uzņēmums tiešsaistes spēļu industrijas priekšgalā. Mums ir plaša pieredze pirmajā vietā un vienmēr meklējam lieliskus cilvēkus, kas palīdzētu mums izveidot nākamo lielo produktu hitu. Mūsu komanda, kurā ir vairāk nekā 1000 inženieru, darbojas no 8 inženiertehniskajiem centriem, kas darbojas 24/7/365, lai apkalpotu lietotājus visā pasaulē. Tas tiek palaists, izmantojot modernu programmatūras steku, kas atbalsta vairāk nekā 250 pilnīgi automatizētus izlaidumus mēnesī mūsu galvenajai tiešraides videi. Mēs ticam iekšējai kompetencei un veikliem darba procesiem, lai mēs varētu īstenot savu inženierijas misiju: nevainojama spēlētāja pieredze.

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.

© Evolution. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Evolution is the world’s leading provider of video-streamed Live Casino solutions, delivering world-class, ‘as real as it gets’ live dealer gaming to our licensees, which include many of the world’s best-known gaming brands.AliveThis is Evolution’s overarching value. We aim always to be alive to every opportunity on behalf of our customers and their players to be proactive, responsive and go ‘the extra mile’ to deliver an exceptional service.Integrity & TeamworkWe are committed to responsible gaming, to compliance, to our licensees, and to their players. We are transparent, honest and professional in all of our dealings.Innovation & ReliabilityWe continue to develop innovative new solutions that deliver a competitive advantage for our licensees. Our solutions are not only ‘as real as it gets’ but also ‘as flexible as it gets’.Values That Add UpOur values are behind an enviable track record of achievement — a record regularly cited by new customers as their main reason for selecting Evolution as their Live Casino partner.

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