¡Activa las notificaciones laborales por email!

Data Scientist

Parlaybay

Barcelona

Presencial

EUR 40.000 - 80.000

Jornada completa

Hace 30+ días

Mejora tus posibilidades de llegar a la entrevista

Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.

Descripción de la vacante

An innovative online B2B sportsbook company is seeking a talented Data Scientist to revolutionize the sports betting industry. In this hybrid role, you'll leverage your expertise in data analytics and predictive modeling to drive strategic decisions and enhance product offerings. Collaborate with cross-functional teams to extract insights from data, ensuring the quality and reliability of your analyses. If you are passionate about sports betting and have a strong background in statistics and machine learning, this is the perfect opportunity to make a significant impact in a fast-paced environment.

Formación

  • Experience in data analysis and statistical modeling.
  • Proficiency in Python, R, or SQL for data manipulation.

Responsabilidades

  • Analyze data and build predictive models for sports betting.
  • Collect and preprocess data to ensure quality and reliability.

Conocimientos

Data Analysis
Statistical Modelling
Machine Learning
Python
R
SQL
Data Visualization
Problem-Solving

Educación

Bachelor’s degree in Computer Science
Master’s or Ph.D. in a related field

Herramientas

Tableau
Power BI

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.

Collecting, cleaning, and preprocessing data to ensure its quality and reliability.

Exploring and visualizing data to identify patterns, trends, and relationships.

Creating and executing machine learning algorithms and statistical models.

Ensuring the effectiveness of data models through rigorous testing and analysis.

Evaluating the performance of models and refining them as needed.

Presenting the results and suggestions to relevant parties by using easily understandable visuals and concise reports.

Working 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 modelling, 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.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.