Data Scientist

Parlaybay
Comunidad Valenciana
EUR 50.000 - 70.000
Descripción del empleo
  • Location : Barcelona – Hybrid (50% Office based in the hills of Barcelona)
  • Working Hours : Monday to Friday 8am to 5pm CET

Company Overview :

We are an innovative online B2B sportsbook company revolutionizing the sports betting industry. Our platform provides cutting-edge solutions for businesses looking to enter the sports betting market, offering advanced technology and seamless integration.

Job Description :

We are seeking a talented and experienced Data Scientist specializing in Prediction Models for Sports Betting, to join our dynamic team. You will play a crucial role in leveraging data analytics to drive strategic decisions and enhance our product offerings. You will work closely with cross-functional teams to extract insights from data, develop predictive models, and implement data-driven solutions that optimize our sports betting platform.

What you’ll be doing :

  • Analyze data, build predictive models, and develop data-driven solutions to address complex business problems using mathematics, statistics, programming, and domain knowledge expertise.
  • Collect, clean, and preprocess data to ensure its quality and reliability.
  • Explore and visualize data to identify patterns, trends, and relationships.
  • Create and execute machine learning algorithms and statistical models.
  • Ensure the effectiveness of data models through rigorous testing and analysis.
  • Evaluate the performance of models and refine them as needed.
  • Present results and suggestions to relevant parties using easily understandable visuals and concise reports.
  • Work with teams across different functions to implement solutions based on data analysis.

What we’re looking for :

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (e.g., Master’s or Ph.D.) preferred.
  • Proven experience in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
  • Strong understanding of sports betting concepts, including odds calculation, risk management, and trading strategies.
  • Experience with data visualization tools (e.g., Tableau, Power BI) to communicate insights effectively.
  • Excellent problem-solving skills and attention to detail, with the ability to thrive in a fast-paced and collaborative environment.
  • Solid communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
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