Data Scientist

Are you passionate about leveraging data to drive strategic decisions in the dynamic world of

iGaming? Join our team as a Senior Data Scientist and be a key player in transforming data into

actionable insights that shape the future of our iGaming experiences!

Responsibilities:

• Advanced Data Analysis: Perform complex analyses on player behavior, game performance,
• and operational metrics to uncover patterns, trends, and opportunities.
• Machine Learning & Predictive Modeling: Design, build, and deploy predictive models to
• enhance customer segmentation, churn prediction, fraud detection, and personalized gaming
• experiences.
• A/B Testing & Experimentation: Develop and implement controlled experiments to test
• hypotheses and optimize game features, promotions, and marketing strategies.
• Data-Driven Decision Making: Provide actionable recommendations based on statistical
• modeling, forecasting, and deep learning techniques.
• Big Data & Feature Engineering: Work with large-scale datasets, employing feature
• engineering, dimensionality reduction, and model optimization to improve accuracy and
• efficiency.
• Data Infrastructure & Pipeline Optimization: Collaborate with data engineers to ensure data
• quality, scalability, and efficient data processing for model training and deployment.
• Algorithm Development & Optimization: Research, develop, and fine-tune algorithms for
• real-time decision-making in iGaming environments.
• Cross-Functional Collaboration: Work closely with product, marketing, and game
• development teams to integrate data-driven solutions into business strategies.
• Industry Research & Innovation: Stay updated with the latest advancements in AI, machine
• learning, and analytics, applying cutting-edge techniques to enhance iGaming experiences.
• Mentorship & Best Practices: Establish best practices for data science workflows, mentor
• junior team members, and contribute to a culture of analytical excellence.

Requirements:

• Proven experience as a Data Scientist in a relevant industry (iGaming, fintech, e-commerce, or
• similar).
• Expertise in machine learning algorithms, predictive modeling, and statistical analysis (e.g.,
• regression, classification, clustering, time-series forecasting).
• Strong proficiency in Python or R for data science and ML development.
• Advanced SQL skills for data extraction and transformation.
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with A/B testing methodologies and experimental design.
• Proficiency in big data tools such as Spark, Databricks, or Snowflake is a plus.
• Strong background in data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to
• communicate insights effectively.
• Experience in deploying machine learning models using MLOps tools (e.g., MLflow, Docker,
• Kubernetes) is an advantage.
• Excellent problem-solving skills with the ability to translate complex data problems into
• business solutions.
• Strong communication skills to effectively present technical findings to both technical and
• non-technical stakeholders.
• Ability to thrive in a fast-paced, dynamic environment with evolving business challenges.

Details:

• Competitive salary synonymous with skills and experience
• Opportunity to make a real impact in a developing organization
• Consultancy contract within EU on a full time basis with 25 days PTO
• or employment contract if you are based in Bulgaria, Hungary or Malta