Senior Data Scientist

Malta

Betsson Group

We are one of the largest companies within the European iGaming industry and our 20+ brands offer casino, sportsbook and other games in 20 countries.

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As a Data Scientist you’ll be working to build cutting edge models to support our business. This pivotal role involves understanding business problems, identifying the best techniques and models to be used to resolve them and developing AI and Machine learning solutions that can be taken to production. You’ll be serving as the Subject matter expert for the area, leading AI related projects ensuring the value for the stakeholder. As an important part of the AI Centre of Excellence, this function also will help to promote the awareness, integration and utilization of AI across the organization, and spearheading innovative AI solutions into Betsson’s suite of products and services.

 

The Wow

At Betsson, we are dedicated to delivering the best customer experiences in the iGaming industry. As a market leader, we offer online gaming products in multiple markets, driving innovation and excellence across our platforms. Join our passionate team as we build and maintain a cutting-edge, scalable data infrastructure supporting multiple brands and jurisdictions. Your work will directly impact users and contribute to our ongoing success in the competitive market. 

 

Key Responsibilities

  • Identify, analyse, define and understand business problems.
  • Collecting, cleaning, and preprocessing data to ensure its quality and reliability to build solutions.
  • Prototype data science models. 
  • Use exploratory analysis methodologies to identify patterns and trends to use with the right statistical methods (clustering, PCA, regression, significance testing).
  • Work with descriptive and predictive analytics (e.g. linear regression & propensity models, customer segmentation, data mining and trigger identification). 
  • Work with the Machine Learning Engineer, within the data function, to implement and productionise the models whilst monitoring the performance.
  • Evaluating the performance of models and refining them as needed
  • Presenting the results and suggestions to relevant parties by using easily understandable visuals and concise reports
  • Working with teams across different functions to implement solutions based on data analysis

 

What we are looking for

  • Bachelor’s in computer science, Machine Learning, Artificial Intelligence, or a related field. Certifications on AWS AI, Microsoft OpenAI or Snowflake would be considered a plus.
  • At least 3 years of experience as a Data Scientist, developing complex AI and Machine Learning solutions.
  • Deep knowledge on Python and Machine/Deep Learning Frameworks like PyTorch, Keras, SciKit Learn or Tensorflow.
  • Deep knowledge on cutting-edge Machine Learning and Deep Learning technologies and techniques.
  • Good Knowledge on AWS AI and Machine Learning Offering (like SageMaker and BedRock)
  • Good Knowledge on Generative AI concepts and application
  • Experience on developing Data Science Projects in complex environments
  • Experience on Data Wrangling and Exploratory data Analysis
  • Experience developing Machine Learning and Deep Learning Models that can be productionized
  • Experience on conducting experiments and identifying the best techniques to apply to different use cases and solutions
  • Great Communicating with commercial stakeholders, explaining data concepts in a non-technical language. 
  • A dynamic personality with a very flexible approach.  
  • Product Mindset.
  • Adaptive, resilient, and collaborative.

 

Challenge accepted?

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If you are interested to learn more, please apply with your CV in English.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: AWS Clustering Computer Science Data analysis Data Mining Deep Learning EDA Generative AI Keras Machine Learning OpenAI Privacy Python PyTorch SageMaker Scikit-learn Snowflake Statistics TensorFlow Testing

Perks/benefits: Flex hours

Region: Europe
Country: Malta

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