Data Scientist

5 days ago

Hungary Ventures Lab Full time €60,000 - €85,000 per year

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

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