Data Scientist

Summary

Join our leading football analytics company as a Data Scientist and contribute to revolutionizing the way football data is utilized. You will build, deploy, and refine data-driven models and processes, collaborating with a team of data scientists, engineers, and operations specialists. This role requires expertise in core data science techniques and a strong understanding of data infrastructure. You will work on sophisticated analytical solutions and model pipelines, handling large datasets and delivering impactful insights. This position offers the chance to apply a broad skill set to data science and system-oriented projects. We offer a competitive salary and benefits package, flexible work environment, and professional development opportunities.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
• 2+ years of experience in data science, ideally with some exposure to data infrastructure or MLOps principles
• Proficient in Python, SQL, and skilled in data manipulation libraries (e.g., Pandas, PySpark, Polars)
• Familiarity with MLOps tools such as MLFlow and Git version control, especially in a collaborative environment
• Highly motivated, self-starter with excellent problem-solving skills
• Ability to work independently, own projects, and drive them across the finish line with minimal supervision
• Strong communication skills, capable of telling a compelling data-driven story to nontechnical stakeholders

Responsibilities

• Build and deploy analytical models to enhance our football analytics offerings, supporting real-time and complex insights
• Conduct advanced data analyses using statistical and machine learning methods, translating results into actionable insights for stakeholders
• Collaborate with other data scientists to refine modeling techniques and improve analytical workflows
• Design and maintain data processing pipelines that are reliable, scalable, and efficient
• Collaborate with data engineering and MLOps teams to ensure models can move seamlessly from development to production
• Optimize data flows to maintain consistency and performance, utilizing tools such as Databricks and Spark for efficient processing
• Work with MLOps and DevOps frameworks to deploy models reliably and with clear versioning standards
• Implement model monitoring and validation techniques, ensuring models remain robust and efficient post-deployment
• Assist in maintaining effective data quality and validation practices, integrating tools that keep our data and models aligned with expectations

Preferred Qualifications

• Master’s degree
• Experience with Docker or similar containerization technologies
• Passion for football and/or experience in the fantasy/betting market

Benefits

• Competitive salary and benefits package
• Opportunity to work in a cutting-edge industry with a passionate and driven team
• Flexible working environment with opportunities for remote work
• Professional development and growth opportunities