Remote Sports Data Scientist

Placements24; Roanoke (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Fully remote work

Professional development budget

Job summary

Placements24 is seeking a high-caliber Remote Sports Data Scientist to design and deploy advanced models on sports data, translating insights into strategic recommendations for athletes and organizations. You will work with a globally distributed team to analyze performance metrics, build scalable data pipelines, and deliver compelling visualizations and reports.

The ideal candidate has 6+ years in data science with sports data, strong Python or R skills, and experience with cloud platforms.

Qualifications

• 6+ years of experience as a Data Scientist with a focus on sports data.
• Strong programming skills in Python or R and libraries (Pandas, NumPy, Scikit-learn).
• Experience with SQL, databases, and cloud platforms (AWS, Azure, GCP).
• Familiarity with ML frameworks, data visualization tools, and communicating insights.

Responsibilities

• Design, develop, and deploy statistical models and ML algorithms for sports data.
• Analyze large datasets on athlete performance, game stats, and fan engagement.
• Build data pipelines ensuring data quality and robust analysis.
• Create visualizations and reports for technical and non-technical audiences.
• Collaborate with coaches, analysts, and management to translate insights into actions.
• Stay updated with advances in data science and sports analytics methods.

Skills

Python

R

Pandas

NumPy

Scikit-learn

SQL

AWS

Azure

GCP

Data visualization

Communication

Problem-solving

Education

Master's or Ph.D. in Data Science/Computer Science/Statistics/Mathematics

Tools

AWS

Azure

GCP

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly skilled and innovative Remote Sports Data Scientist to join their globally distributed team. This fully remote position allows you to leverage advanced analytics and machine learning to uncover insights that drive performance improvements for athletes and sports organizations. You will be responsible for designing and implementing data models, conducting complex analyses on large datasets, and communicating findings to stakeholders through compelling visualizations and reports. This role is perfect for a data expert with a passion for sports and a desire to push the boundaries of sports analytics from anywhere in the world.

Key Responsibilities

• Design, develop, and deploy sophisticated statistical models and machine learning algorithms for sports data.
• Analyze large, complex datasets related to athlete performance, game statistics, and fan engagement.
• Develop data pipelines and ensure data quality and integrity for robust analysis.
• Create compelling visualizations and reports to communicate complex findings to technical and non-technical audiences.
• Collaborate with coaches, performance analysts, and management to translate data insights into actionable strategies.
• Stay current with the latest advancements in data science, machine learning, and sports analytics methodologies.

Requirements

• Minimum of 6 years of experience as a Data Scientist , with a significant focus on sports-related data.
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Expertise in SQL, database management, and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with machine learning frameworks and techniques, and data visualization tools.
• Excellent analytical, problem-solving, and communication skills.
• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Benefits

• Highly competitive salary and fully remote work arrangement.
• Opportunity to work with cutting-edge sports technology and data.
• Significant impact on athletic performance and strategy at a global level.
• Professional development budget for continuous learning and conferences.
• Collaborative and innovative culture focused on data-driven insights.