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

Position:

• Title: Data Scientist
• Department: Baseball Operations
• Closing Date: 05-Nov-2024 (CST)

Company:

• Organization: St. Louis Cardinals
• Location of Headquarters: Clark Avenue, St. Louis, MO, United States
• Division: BBOPS - Baseball Operations

Location:

• 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.

Job Type:

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

Job Mode:

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

Job Requisition ID:

• ID: BBOPS2024-DS

Years of Experience:

• Not mentioned but appears to be an entry level position as per the JD
  

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Company Description :

• 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.

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Profile Overview :

• 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.

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Qualifications :

• 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.

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Additional Info :

• 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.

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