Data Scientist - Barcelona, España - Swish Analytics

Descripción

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.

We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.

Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Swish Analytics is looking for a Data Scientist to join our ever-growing team Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.

• Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing stateoftheart sports betting products.
• Production support and triaging of current data science backed products.
• Develop contextualized feature sets using sports specific domain knowledge.
• Contribute to all stages of model development, from creating proofofconcepts and beta testing, to partnering with data engineering and product teams to deploy new models.
• Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
• Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
• Adhere to software engineering best practices and contribute to shared code repositories.
• Document modeling work and present to stakeholders and other technical and nontechnical partners.

• Demonstrated experience developing models at production scale for NBA, NHL, MLB, Tennis, college basketball, or college football
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
• 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs
• Experience with relational SQL & Python
• Experience with source control tools such as GitHub and related CI/CD processes
• Experience working in AWS environments etc
• Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
• Excellent communication skills to both technical and nontechnical audiences