St. Louis Cardinals is hiring for a fresher entry level Data Scientist role in US

Position:

Office Location: Clark Avenue, St. Louis, Missouri, United States
Environment: Primarily on-site at St. Louis Cardinals headquarters, with potential hybrid flexibility in specific cases.

Type of Employment: Full-time
Duration: Permanent position
Work Schedule: Standard office hours with some flexibility for game days and events

Mode of Work: Primarily in-office with the potential for partial remote work
Flexibility: Available based on team schedules and requirements during baseball season

St. Louis Cardinals: An iconic Major League Baseball (MLB) team with a rich history and a loyal fanbase, based in St. Louis, Missouri.
Baseball Operations: The Baseball Operations team at St. Louis Cardinals works closely with management, coaches, scouts, and analysts to optimize player performance and strategy.
Commitment to Excellence: The Cardinals are known for their dedication to building a competitive team using both traditional and advanced approaches to player evaluation and game strategy.
Innovative Culture: With a forward-thinking approach to data, the Cardinals Baseball Operations department integrates advanced statistical models and machine learning to gain a strategic edge on the field.
Core Values: Driven by a commitment to integrity, teamwork, and excellence, the Cardinals are focused on developing their players, enhancing fan engagement, and creating value for their stakeholders.
Advancement in Analytics: The Cardinals continuously improve their analytics capabilities, employing state-of-the-art models and techniques to support decision-making across all levels of the organization.

Primary Role: The Data Scientist will develop predictive models and analytical tools to support baseball operations at the Cardinals.
Responsibilities: This includes building and refining models to assist with player evaluation, development, and strategic game insights.
Cross-functional Collaboration: The role requires extensive collaboration with data engineers, analytics experts, and application developers to create streamlined analytical pipelines.
Data Quality & Validation: Conduct rigorous data quality checks, ensuring all data inputs and outputs meet high standards for accuracy.
Model Development: Design, maintain, and optimize models for use in player projection, advance scouting, and various baseball-specific analyses.
Presentation of Findings: Share insights and recommendations with Baseball Operations leaders, incorporating feedback to improve model performance.
Outcome-Oriented: The Data Scientist will focus on actionable insights that inform day-to-day and strategic decisions within Baseball Operations.

Educational Background:
- Bachelor's or Master's degree in Statistics, Data Science, or a related quantitative field.
Technical Skills:
- Proficient in R and/or Python, particularly in data science applications.
- Strong understanding and experience with SQL for data manipulation and analysis.
- Familiar with version control systems, especially Git.
Machine Learning & Statistical Methods:
- Knowledgeable in machine learning, advanced statistical modeling, and deep learning for complex problem-solving.
Communication Skills:
- Capable of explaining complex statistical concepts to both technical and non-technical audiences, including coaches and management.
Preferred Experience:
- Background in baseball analytics or familiarity with sports data.
- Experience with cloud platforms, such as AWS, Microsoft Azure, or Google Cloud, for scaling analytical solutions.

Growth Opportunities: The role provides ample opportunities for professional development in sports analytics, with access to cutting-edge tools and technologies.
Team Environment: The Data Scientist will work closely with a collaborative team of analysts, coaches, and support staff.
Innovation Focus: Emphasis on continuous improvement in model accuracy, data quality, and predictive power, enabling better decision-making.
Competitive Edge: The Data Scientist will directly contribute to the Cardinals’ competitive advantage through innovative player and game insights.
Work Schedule Flexibility: Though primarily during standard hours, there may be occasional extended hours during key baseball events or peak seasons.
Employee Benefits: Includes comprehensive health benefits, retirement plans, and potential game-day perks.
Fan-Centric Culture: The Cardinals emphasize building strong relationships with fans, valuing their engagement as part of the organization's success.
Contribution to Legacy: By joining the Cardinals, the Data Scientist becomes part of an organization with a storied legacy in MLB and a commitment to the sport’s future through data-driven strategies.