About San Francisco Giants
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
San Francisco, CA, US
Year founded
1958
$25 - $30/hr
Internship
Posted 19 days ago
Job description
Title: Baseball Operations R&D Intern
Department: Baseball Operations
Location: San Francisco, CA
Status: Part-Time; Non-Exempt
Position Summary:
The San Francisco Giants are seeking an analytically-focused intern to join the R+D department within Baseball Operations, with opportunities available for both summer and year-round internships. This individual will be part of the R&D team and focus on providing support to ongoing research projects while owning some small initiatives themselves. The ideal candidate will possess strong analytical skills, demonstrated ability to learn quickly in a fast-paced environment, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
• Actively participate in research initiatives within the Modeling, Research, and Performance Science Depts.
• Act as a thought partner in project design and methodology, offering careful consideration of factors like uncertainty, confounding variables, and signal-to-noise ratio.
• Prototype research outputs into lightweight tools and visualizations for use across Baseball Ops.
• Perform ad-hoc statistical analysis and quantitative research to support various areas of Baseball Ops.
• Own small-scale (or larger!) research projects and see them through to completion.
• Keep up-to-date on the frontier of public baseball research and AI tool integration to enhance workflows.
Skills and Qualifications:
• Experience in a quantitative field, such as engineering, physical sciences, computer science, or applied math.
• Fluency in SQL and at least one general-purpose programming language (e.g. Python, R).
• Top-notch critical thinking skills, including ability to identify data issues; ability to articulate assumptions, limitations, and uncertainties in a process; and ability to distill complex topics into interpretable results.
• Passion and curiosity for baseball analytics.
• Strong work ethic with a voracious appetite to learn on the fly.
• Positive attitude and willingness to contribute to team culture.
• Experience with machine learning and/or computer vision is a plus.
At the San Francisco Giants, we carefully consider a wide range of factors when determining compensation. Including your background and experience. These considerations can cause your compensation to vary. The hourly range for this position will be $25.00 to $30.00.
At the Giants, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.
Department: Baseball Operations
Location: San Francisco, CA
Status: Part-Time; Non-Exempt
Position Summary:
The San Francisco Giants are seeking an analytically-focused intern to join the R+D department within Baseball Operations, with opportunities available for both summer and year-round internships. This individual will be part of the R&D team and focus on providing support to ongoing research projects while owning some small initiatives themselves. The ideal candidate will possess strong analytical skills, demonstrated ability to learn quickly in a fast-paced environment, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
• Actively participate in research initiatives within the Modeling, Research, and Performance Science Depts.
• Act as a thought partner in project design and methodology, offering careful consideration of factors like uncertainty, confounding variables, and signal-to-noise ratio.
• Prototype research outputs into lightweight tools and visualizations for use across Baseball Ops.
• Perform ad-hoc statistical analysis and quantitative research to support various areas of Baseball Ops.
• Own small-scale (or larger!) research projects and see them through to completion.
• Keep up-to-date on the frontier of public baseball research and AI tool integration to enhance workflows.
Skills and Qualifications:
• Experience in a quantitative field, such as engineering, physical sciences, computer science, or applied math.
• Fluency in SQL and at least one general-purpose programming language (e.g. Python, R).
• Top-notch critical thinking skills, including ability to identify data issues; ability to articulate assumptions, limitations, and uncertainties in a process; and ability to distill complex topics into interpretable results.
• Passion and curiosity for baseball analytics.
• Strong work ethic with a voracious appetite to learn on the fly.
• Positive attitude and willingness to contribute to team culture.
• Experience with machine learning and/or computer vision is a plus.
At the San Francisco Giants, we carefully consider a wide range of factors when determining compensation. Including your background and experience. These considerations can cause your compensation to vary. The hourly range for this position will be $25.00 to $30.00.
At the Giants, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.
mlb.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Operations Intern?
A: To succeed as an Operations Intern, key technical skills include proficiency in data analysis and visualization tools such as Excel, Tableau, or Power BI, as well as experience with project management software like Asana or Trello. Soft skills like strong communication, problem-solving, and time management abilities are also crucial, as they enable interns to effectively collaborate with teams, identify and resolve operational issues, and prioritize tasks efficiently. By possessing these technical and soft skills, Operations Interns can effectively support business operations, gain valuable experience, and develop a strong foundation for future career growth in operations or management roles.
Q: What is the career path for a Operations Intern?
A: A typical career progression for an Operations Intern involves transitioning from entry-level roles such as Operations Coordinator or Assistant to mid-level positions like Operations Manager or Supply Chain Analyst, where they oversee daily operations, manage logistics, and analyze data to optimize efficiency. As they gain experience, they can move into senior roles like Operations Director or Head of Supply Chain, where they develop and implement strategic plans, lead cross-functional teams, and drive business growth. Throughout their career, Operations Interns can develop skills in project management, data analysis, communication, and problem-solving, which can lead to opportunities in various industries, including finance, manufacturing, healthcare, and more.
