Remote Sports Data Analyst - AI & Machine Learning Focus

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Work from home

Job summary

Placements24 seeks a Remote Sports Data Analyst with a strong AI/ML focus to drive analytics for athlete performance and strategic decisions. The role involves processing large datasets, developing predictive models, and delivering insights to coaches and management from anywhere globally.

We value advanced degrees in quantitative fields and 4+ years of ML experience, with Python/R and ML libraries. Remote collaboration across international teams is essential, with a competitive compensation

Qualifications

• Master's or Ph.D. in a quantitative field.
• 4+ years of data analytics experience with ML/AI focus.
• Proficiency in Python or R and ML libraries (scikit-learn, TF, PyTorch).
• Strong SQL and big data tech experience (Spark/Hadoop).
• Solid statistical modeling, experimental design, and data mining knowledge.
• Experience with sports-related data is a plus.
• Excellent problem-solving and communication skills.
• Ability to work independently in a remote team.

Responsibilities

• Collect, clean, and process large sports datasets from multiple sources.
• Develop and validate ML models for predictive analytics and insights.
• Analyze player and team stats to identify trends.
• Create data visualizations and reports for coaches and management.
• Collaborate with engineers and product managers to deploy solutions.
• Design and run A/B tests to evaluate strategies.
• Keep up with advances in data science, AI, and sports analytics.
• Maintain data pipelines and ensure data integrity.
• Contribute to methodological improvements and tooling.
• Present findings clearly to technical and non-technical stakeholders.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Data visualization

Education

Master's or Ph.D. in Data Science/CS/Statistics/Math

Tools

Git

Apache Spark

Hadoop

Job description

About the Role

Our client, a cutting-edge sports technology firm, is revolutionizing athlete performance and strategic analysis through advanced data science. We are seeking a highly skilled and motivated Remote Sports Data Analyst with a strong focus on AI and Machine Learning. This fully remote position offers the exciting opportunity to work from anywhere within Richards Bay, KwaZulu-Natal, ZA or globally, leveraging vast datasets to uncover insights that drive strategic decisions for professional sports teams. You will be at the forefront of applying sophisticated analytical techniques to player performance, game strategies, and fan engagement. This role requires a blend of technical expertise, statistical rigor, and a deep passion for sports. If you thrive in a fast-paced, data-driven environment and are eager to contribute to the future of sports analytics, this is the perfect opportunity for you.

Key Responsibilities

• Collect, clean, and process large, complex sports datasets from various sources.
• Develop, implement, and validate machine learning models for predictive analytics, performance optimization, and strategic insights.
• Analyze player statistics, team performance metrics, and game dynamics to identify trends and patterns.
• Create compelling data visualizations and reports to communicate findings to coaches, management, and other stakeholders.
• Collaborate with cross-functional teams, including engineers and product managers, to integrate analytical solutions.
• Design and conduct A/B tests and other experiments to evaluate the impact of strategic initiatives.
• Stay current with advancements in data science, AI, machine learning, and sports analytics.
• Develop and maintain data pipelines and ensure data integrity.
• Contribute to the continuous improvement of analytical methodologies and tools.
• Present complex findings in a clear and concise manner to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience in data analysis, with a significant focus on machine learning and AI applications.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable.
• Solid understanding of statistical modeling, experimental design, and data mining techniques.
• Demonstrated ability to translate complex data into actionable business insights.
• Experience working with sports-related data is a significant plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and presentation skills, comfortable working in a remote setting.
• Must be able to work independently and collaboratively within a virtual team environment.

Benefits

This remote position offers a competitive salary, comprehensive health insurance, a retirement savings plan, and generous paid time off. You will have the flexibility to work from home, enjoying a work-life balance that suits your lifestyle. Our client provides a dynamic and innovative work environment, access to cutting-edge technology, and opportunities for professional growth and development in the exciting field of sports analytics. Join a globally distributed team that is shaping the future of sports.