Data Scientist
Data Scientist
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Job Description
Please note that we work in hybrid model 3 days in the office and 2 days remotely.
We are searching for a passionate Data Scientist to help with our Machine Learning tasks and statistical analysis.
Main Duties & Responsibilities:
- Work with business and technical stakeholders to choose the most appropriate Machine Learning solutions;
- Design and develop ML models for usecases like:
- recommender systems
- fraud detection
- chat text analysis
- Work with data engineers to select appropriate datasets and data representation methods;
- Work with game developers to make sure that the necessary data are available;
- Research and implement appropriate ML algorithms and tools;
- Devise metrics and evaluation processes for the performance and impact of your models;
- Train test and retrain ML models;
- Work with other team members to deploy ML models to production;
- Use and where necessary extend existing ML libraries and frameworks.
Qualifications :
- University degree in numerical field (Machine Learning Statistics Mathematics Computer Science Physics Engineering etc.);
- Proven track record and excellent ability to understand interpret and explain business data;
- At least 3 years of work experience in the Data Science field;
- Experience and understanding of linear algebra and statistical modelling;
- Experience with deploying ML solutions to production;
- Indepth knowledge in at least one ML field such as regression classification clustering pattern mining or optimization;
- Experience with at least one ML framework such as ScikitLearn Keras Tensorflow Pytorch MLLib;
- Handson with Python in particular packages such as Pandas Numpy Matplotlib (or equivalent);
- Experience with SQL and Big data tools such as Spark/Hive;
- Highly proficient in spoken and written English;
- Excellent communication skills and a pragmatic approach to problem solving;
- Willingness to learn and interest in latest trends in programming and ML.
Nice to Have:
- Knowledge of Scala or Java;
- Experience with AWS or other cloud provider;
- Experience with Kafka Clickhouse Postgres Kubernetes Docker.
Additional Information :
- Working for one of the top gambling companies in the world
- Opportunity to influence the quality of the products improve process and implement your ideas
- Social package including sport compensation & medical insurance
- English classes
- Professional growth
- Sport activities parties team buildings
At Evolution we have implemented Whistleblower Protection Policy and provide secure and confidential channels for reporting legal or ethical concerns available to anyone with a direct or indirect work relationship with the Company including current and former Employees Candidates Shareholders Contractors Service Providers Trainees Entrepreneurs and their proxies. To submit a report please contact us via our dedicated whistleblowing channel at
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
