Data Scientist

Description

Summary: Join as a Senior Data Scientist to transform data into actionable insights, shaping the future of iGaming experiences through advanced analysis and machine learning. Highlights: 1. Leverage data to drive strategic decisions in iGaming 2. Lead machine learning, predictive modeling, and A/B testing 3. Collaborate cross-functionally and mentor junior team members 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