Data Scientist

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3 days ago

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Ventures Lab

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Gaming • Fintech • Banking

Ventures Lab is a leading company providing end-to-end iGaming and financial business solutions. They operate as a prominent sports betting and gaming group in the online sector, offering a proprietary platform with managed services to support the iGaming, fintech, and banking industries. Their technology includes a versatile gaming platform for both sports and casino verticals, and features such as customer support, marketing solutions, CRM, and business intelligence tools. Ventures Lab is equipped to handle numerous payment methods, fraud control, and offers a robust infrastructure for hosting and network management. With licenses in major jurisdictions, they cater to partners seeking to expand their iGaming businesses worldwide by providing customizable and scalable solutions.

201 - 500 employees

🎮 Gaming

💳 Fintech

🏦 Banking

📋 Description

• Perform complex analyses on player behavior, game performance, and operational metrics to uncover patterns, trends, and opportunities • Design, build, and deploy predictive models to enhance customer segmentation, churn prediction, fraud detection, and personalized gaming experiences • Develop and implement controlled experiments to test hypotheses and optimize game features, promotions, and marketing strategies • Provide actionable recommendations based on statistical modeling, forecasting, and deep learning techniques • Work with large-scale datasets employing feature engineering, dimensionality reduction, and model optimization to improve accuracy and efficiency • Collaborate with data engineers to ensure data quality, scalability, and efficient data processing for model training and deployment • Research, develop, and fine-tune algorithms for real-time decision-making in iGaming environments • Work closely with product, marketing, and game development teams to integrate data-driven solutions into business strategies • Stay updated with the latest advancements in AI, machine learning, and analytics, applying cutting-edge techniques to enhance iGaming experiences • 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

🏖️ Benefits

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