Area Scout, Amateur Scouting- The Carolinas

Job Summary: The Royals are looking for area scouts to lead the identification and evaluation process of amateur prospects in their assigned geographic area to lay the groundwork for future acquisition opportunities in both the amateur and professional realms. Area scouts will need to be able evaluate a player’s physical abilities, skill level, and makeup on and off the field. Candidates must live or be willing to move to the Indiana, Michigan, or Ohio area.

Position Accountabilities/Responsibilities:

• Submit written scouting reports throughout the year on players in designated area.
• Maintain personal rankings lists to help identify players crosscheckers and executives need to see.
• Conduct in-home visits with players and families to gain insight on a player’s makeup and build rapport. 
• Coordinate scheduling for games/events within assigned area for other various Royals personnel.
• Collect various information streams on players within assigned area to include video, performance data, medical information, testing, etc. 
• Develop a network within assigned area to gather information on amateur players.
• Present evaluations and information on players to Royals executives.
• Candidate must live or be willing to relocate to the North Carolina or South Carolina area.  

Position Qualifications, Skills, and Experience Required:

• Bachelor’s degree
• 2+ years of relevant baseball experience (i.e., scouting, playing, coaching, baseball operations etc.)
• Strong communication skills, both written and verbal
• Excellent organizational skills 
• Strong computer skills
• Team player
• Comprehensive understanding of baseball statistics.
• Open to the contributions of and willing to work with non-Amateur Scouting departments like Research & Development, Behavioral Sciences, Performance Science and Medical
• Ability to work long, flexible hours
• Ability to travel regularly

Physical Requirements:

• Ability to lift items weighing as much as 15 pounds 
• Must be able to be productive in a work environment where the noise level can be high at times
• Specific vision abilities include close vision and ability to adjust focus
• Must be comfortable walking to navigate the facility to access the office, concourse, etc.
• Must be able to work extended hours and/or weekends as required by deadlines and event scheduling

The physical demands described here are representative of those that may be met by an employee to successfully perform the essential functions of this job.

This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO. This role is expected to have a standard 40-hour work week.

We also afford equal employment opportunities to qualified individuals with a disability. For this reason, the Kansas City Royals will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, the Club also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions please inquire with Human Resources by email at humanresources@royals.com.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Kansas City Royals.

Wasserman – Coordinator, Baseball Operations

Wasserman is forever committed to serving our clients, colleagues and community with exceptional insight, influence and creativity, while making a positive and lasting impact. We support our employees’ professional aspirations, with a rich internal culture where curiosity is rewarded. We offer our people multiple learning and development programs throughout the world. What we do is fast-paced, exciting and rewarding which is why we love it and why you’ll love life at Wasserman.

Join our team today!

Job Purpose: Responsible for supporting the day-to-day needs of agents, clients and other baseball team members to accomplish client related projects, including statistical analysis, market analysis, contract projection, player education, salary arbitration, marketing, and social media. Support client relationships, internal-team relationships, and account operations during the development and execution of all client business affairs. Participate in new business development efforts such as recruitment and / or marketing material development. Under the direction of executive management, this position also prepares reports, presentations, and meeting agendas.

This position may be remote, but preference for Los Angeles, New York, or Tampa based applicants.

Duties:

• Prepare statistical analyses and create visual elements to showcase findings.
• Design and develop statistical models and tools that can be communicated to a nontechnical audience.
• Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
• Design, develop, expand, and maintain internal reporting systems (i.e. email, web-based solutions).
• Incorporate new analysis into existing data processes to improve automated reporting.
• Identify, diagnose, and resolve data quality issues.
• Conduct in-depth evaluations of players at all levels of amateur and professional baseball.
• Support baseball staff with all tasks related to client service and management.  
• Perform administrative tasks including file management, sponsorship invoicing, player equipment, etc.
• Handle company, staff, and client personal matters with discretion.

Skills/Qualifications:

• Bachelor’s or advanced degree in a quantitative field such as statistics, engineering, mathematics, physics, quantitative social sciences, computer science, or operations research.
• Excellent written and verbal communication skills.
• Advanced Proficiency in Microsoft Office (Excel, PowerPoint) and Adobe Creative Suite (Photoshop, InDesign).
• Strong knowledge of databases, SQL, Python, and R statistical software.
• Comfortable with modern data visualization tools (i.e. Tableau, LaTeX).
• Experience with web development (i.e. HTML5, CSS, JavaScript, Shiny) technologies is preferred.
• Requires analytical, organizational, self-management and project management abilities.
• Requires considerable flexibility in scheduling and the willingness to work nights and weekends.
• Well-developed communication skills and ability to interact with people of all demographics.

Base salary range: $66,560 – $66,560 plus bonus potential if applicable for role.
Actual base salary is dependent on several factors including but not limited to; market dynamics, location and region, experience, specialized skills/training (education), level of responsibility, budgetary considerations, tenure at the company (for current employees), etc. The salary range listed is just one component of the total compensation package for employees. Compensation decisions are dependent on circumstances of each role

Wasserman does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by Wasserman.

Area Scout, Amateur Scouting- The Carolinas

Job Summary: The Royals are looking for area scouts to lead the identification and evaluation process of amateur prospects in their assigned geographic area to lay the groundwork for future acquisition opportunities in both the amateur and professional realms. Area scouts will need to be able evaluate a player’s physical abilities, skill level, and makeup on and off the field. Candidates must live or be willing to move to the North Carolina or South Carolina area.

Position Accountabilities/Responsibilities:

• Submit written scouting reports throughout the year on players in designated area.
• Maintain personal rankings lists to help identify players crosscheckers and executives need to see.
• Conduct in-home visits with players and families to gain insight on a player’s makeup and build rapport. 
• Coordinate scheduling for games/events within assigned area for other various Royals personnel.
• Collect various information streams on players within assigned area to include video, performance data, medical information, testing, etc. 
• Develop a network within assigned area to gather information on amateur players.
• Present evaluations and information on players to Royals executives.
• Candidate must live or be willing to relocate to the North Carolina or South Carolina area.  

Position Qualifications, Skills, and Experience Required:

• Bachelor’s degree
• 2+ years of relevant baseball experience (i.e., scouting, playing, coaching, baseball operations etc.)
• Strong communication skills, both written and verbal
• Excellent organizational skills 
• Strong computer skills
• Team player
• Comprehensive understanding of baseball statistics.
• Open to the contributions of and willing to work with non-Amateur Scouting departments like Research & Development, Behavioral Sciences, Performance Science and Medical
• Ability to work long, flexible hours
• Ability to travel regularly

Physical Requirements:

• Ability to lift items weighing as much as 15 pounds 
• Must be able to be productive in a work environment where the noise level can be high at times
• Specific vision abilities include close vision and ability to adjust focus
• Must be comfortable walking to navigate the facility to access the office, concourse, etc.
• Must be able to work extended hours and/or weekends as required by deadlines and event scheduling

The physical demands described here are representative of those that may be met by an employee to successfully perform the essential functions of this job.

This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO. This role is expected to have a standard 40-hour work week.

We also afford equal employment opportunities to qualified individuals with a disability. For this reason, the Kansas City Royals will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, the Club also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions please inquire with Human Resources by email at humanresources@royals.com.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Kansas City Royals.

Area Scout, Amateur Scouting-S. California

Job Summary: The Royals are looking for area scouts to lead the identification and evaluation process of amateur prospects in their assigned geographic area to lay the groundwork for future acquisition opportunities in both the amateur and professional realms. Area scouts will need to be able evaluate a player’s physical abilities, skill level, and makeup on and off the field. Candidates must live or be willing to move to the Southern California area.

Position Accountabilities/Responsibilities:

• Submit written scouting reports throughout the year on players in designated area.
• Maintain personal rankings lists to help identify players crosscheckers and executives need to see.
• Conduct in-home visits with players and families to gain insight on a player’s makeup and build rapport. 
• Coordinate scheduling for games/events within assigned area for other various Royals personnel.
• Collect various information streams on players within assigned area to include video, performance data, medical information, testing, etc. 
• Develop a network within assigned area to gather information on amateur players.
• Present evaluations and information on players to Royals executives.
• Candidate must live or be willing to relocate to the Southern California area.  

Position Qualifications, Skills, and Experience Required:

• Bachelor’s degree
• 2+ years of relevant baseball experience (i.e., scouting, playing, coaching, baseball operations etc.)
• Strong communication skills, both written and verbal
• Excellent organizational skills 
• Strong computer skills
• Team player
• Comprehensive understanding of baseball statistics.
• Open to the contributions of and willing to work with non-Amateur Scouting departments like Research & Development, Behavioral Sciences, Performance Science and Medical
• Ability to work long, flexible hours
• Ability to travel regularly

Physical Requirements:

• Ability to lift items weighing as much as 15 pounds 
• Must be able to be productive in a work environment where the noise level can be high at times
• Specific vision abilities include close vision and ability to adjust focus
• Must be comfortable walking to navigate the facility to access the office, concourse, etc.
• Must be able to work extended hours and/or weekends as required by deadlines and event scheduling

The physical demands described here are representative of those that may be met by an employee to successfully perform the essential functions of this job.

This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO. This role is expected to have a standard 40-hour work week.

We also afford equal employment opportunities to qualified individuals with a disability. For this reason, the Kansas City Royals will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, the Club also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions please inquire with Human Resources by email at humanresources@royals.com.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Kansas City Royals.

Direct Links (Please see full job postings below):

Senior Data Scientist
Data Scientist

Senior Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

• Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models

• Interpret data and report conclusions drawn from their analyses

• Present model outputs in an effective way, both for technical and non-technical audiences

• Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

• Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

• Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

• Evaluate potential new data sources and technologies to determine their validity and usefulness

• Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

• Ph.D. in statistics or a related field, or equivalent professional experience

• Strong background in a wide variety of statistical techniques

• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

• Strong communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

Salary Range: $115,000 – $145,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply:
To apply, please follow this link.

Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets are seeking a Data Scientist in Baseball Analytics. The Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Qualifications:

• Masters and/or BS degree in statistics or a related field

• Professional experience in a quantitative position is a plus

• Strong background in a wide variety of statistical techniques

• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

• Strong communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

Essential Duties & Responsibilities:

• Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models

• Interpret data and report conclusions drawn from their analyses

• Present model outputs in an effective way, both for technical and non-technical audiences

• Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

• Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

• Evaluate potential new data sources and technologies to determine their validity and usefulness

• Consistently analyze research in analytics that can help improve the modeling work done by the Baseball Analytics department

Salary Range: $80,000 – $110,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.

Direct Links (Please see full job postings below):

Lead Data Engineer
Machine Learning Engineer
Lead Software Engineer

Lead Data Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Lead Data Engineer with a passion for baseball and technology to lead the development of timely and reliable data pipelines. Your work will deliver the data that informs the decisions that build a sustainable winning team in Miami.

Key Responsibilities:

• Serve as the tech lead for the Marlins’ Data Engineering team.
• Lead the design, development, documentation, and maintenance of schemas and ETL pipelines for internal databases and data warehouses that scale and adapt to future use cases.
• Break down complex data engineering projects into actionable work plans including proposed task assignments with clear design specifications.
• Implement and test collection, mapping, and storage procedures for secure access to internal and external data sources.
• Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to automate and execute data engineering workflows.
• Develop algorithms for quality assurance and imputation to prepare data for exploratory analysis and quantitative modeling.
• Coordinate with data providers around planned changes to data feeds.
• Research, design, test, and implement generalizable software architectures for data ingestion, processing, and integration and guide organizational adoption and strategies for infrastructure maintenance and data-related cost savings.
• Define and encourage team-wide adoption of data engineering standards.
• Effectively communicate complex technical concepts to both internal and external audiences.
• Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates, and provide guidance and technical mentorship for junior engineers.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Significant experience in back-end software design and development.
• Experience with ETL architecture and development in a cloud-based environment.
• Fluency in SQL and an understanding of database and data warehousing technologies.
• Proficiency with Python (preferred), Scala, and/or other data-oriented programming languages.
• Experience with automated data quality validation across large data sets.
• Familiarity working with virtual machines in a cloud environment.
• Strong software engineering and problem-solving skills.
• Expertise developing complex databases and data warehouses (e.g. BigQuery, RedShift, Snowflake) for large-scale, cloud-based analytics systems
• Experience with task orchestration and workflow automation tools such as Airflow.
• Proficient in designing, deploying, and managing containerized applications with tools such as Docker and Kubernetes.
• Ability to successfully coach junior engineers to grow in their own careers.

To Apply:
To apply, please follow this link.

Machine Learning Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Machine Learning Engineer with a passion for baseball and technology to implement, automate, and optimize our data scientists’ quantitative models. Your work will deliver the models that inform the decisions that build a sustainable winning team in Miami.

Key Responsibilities:

• Optimize, automate, and validate quantitative models built using statistics, machine learning, optimization, and simulation.
• Develop, schedule, monitor, and maintain model training and prediction workflows.
• Develop and maintain abstractions for model deployment that allow our workflows to run efficiently and be easily adapted to future use cases.
• Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to execute model training and prediction workflows.
• Create visualizations with dashboard or application development frameworks to deliver data insights to Baseball Ops users.
• Deploy REST APIs on top of fitted models using distributed computation to support real-time, client-facing integration.
• Coordinate with the broader engineering team to plan and implement changes to core infrastructure.
• Collaborate with data scientists to define and manage model productionalization and platform release plans.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Academic and/or industry experience in software design and development.
• Academic, industry, and/or research experience with applied mathematical and predictive modeling (statistics, machine learning, optimization, and/or simulation).
• Experience with cloud infrastructure and distributed computing.
• Experience with back-end development, including fluency with Python (preferred), R, or other data-oriented and statistical programming languages.
• Experience with relational databases and SQL development.
• Familiarity working with Linux servers in a virtualized/distributed environment.
• Strong software-engineering and problem-solving skills.

Job Questions:

1. What is one baseball data or modelling challenge that an MLB Research group faces? What would be your first step in tackling that problem?
2. Describe the most impactful work of your career. What made it so valuable?

To Apply:
To apply, please follow this link.

Lead Software Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Lead Software Engineer with a passion for baseball and technology to lead the development of timely and reliable Baseball Ops applications. You will deliver the applications used throughout the Baseball Ops department to build a sustainable winning team in Miami.

Key Responsibilities:

• Lead the design, development, documentation, and maintenance of software to support all Baseball Operations workflows.
• Cultivate a high performing environment where individual contributions are well connected to broader organizational goals.
• Actively develop members of the engineering team, providing technical perspectives, coaching, support, and development opportunities.
• Facilitate communication and collaboration across the organization, including with non-technical staff, during software development and support processes.
• Define standards and practices to support the engineering needs of the organization, including the discovery, vetting, and implementation of new technologies and tooling as the industry evolves.
• Break down complex engineering projects into actionable work plans including proposed task assignments with clear design specifications.
• Architect and lead implementation of generalized application tooling to improve product outcomes and developer experience.
• Collaborate with organizational leadership to establish medium to long term planning strategies for software delivery.
• Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Expertise in architecting and implementing modern application systems, including significant experience in one or more of the following domains:
• Front-end development: Working in modern, component-based frameworks like React, Vue, or Svelte, ideally having experience with meta-frameworks like NextJS.
• API development: Working in RESTful monolithic and microservice architectures, ideally across multiple languages.
• Strong experience working in cross-functional product teams, including with non-technical teammates, to design, develop, and deliver software products that meet user needs.
• Familiarity working with different methods of application delivery, including cloud providers (GCP, AWS, Azure), on-prem resources, and/or front-end cloud providers like Vercel.
• Proficiency with several of the following: TypeScript (preferred), JavaScript, HTML, CSS, Python.
• Fluency in SQL development and an understanding of relational database technologies.
• Strong software-engineering and problem-solving skills.
• A history of close collaboration with product designers, ideally including experience with design tools and practices.
• Experience adapting, retraining, and retooling in a rapidly changing technology environment.
• A history of successfully coaching junior engineers to growth in their own careers.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

With the most recent list cycle completed and the draft concluded, I’ve updated the Top 100 Prospects list, which you can now find over on The Board. I’ll have a couple of posts detailing the player movement up shortly, starting with the pitchers. Remember that you can see whose FV grade has changed with this update in the “Trend” column. There are several cases where a player’s ordinal ranking shifted a bit but their FV grade (which is the more important thing) did not, and thus they have no trend arrow.

In addition to the handful who made the Top 100, recent draft picks have been added to the team-by-team prospect lists. Graduating rookies have been pulled off the Updated 2024 Report and can be found on the 2024 Graduates tab. The pre-draft/pre-graduation 2024 Report can be found here. Read the rest of this entry »

Direct Links (Please see full job postings below):

Senior Analyst
Analyst

Senior Analyst

Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations

Role Summary:
As a Senior Analyst specializing in predictive modeling, you will play a pivotal role in transforming data into actionable insights to guide critical decisions across the organization. You will be responsible for developing and deploying sophisticated Bayesian models and automating workflows for cloud-based model deployment. Your role involves collaborating with cross-functional teams and aiding in player evaluation and strategic decision-making.

Key Responsibilities:

• Lead the development and deployment of advanced predictive models using Bayesian methods.
• Collaborate with cross-functional teams to integrate predictive modeling into cloud-based applications and tools for baseball decision support.
• Mentor and provide technical guidance to junior analysts in the department, fostering a culture of continuous learning and innovation.
• Stay abreast of emerging trends and technologies in data science and baseball analytics, identifying opportunities for innovation and improvement.

Qualifications:

• Bachelor’s degree or equivalent experience in statistics, mathematics, computer science, or a related quantitative field.
• 5+ years of experience building and deploying predictive models, with expertise in Bayesian methods using technologies such as Stan or PyMC.
• Proven track record of success in productionizing models in cloud environments, with experience in platforms such as AWS, Azure, Snowflake, or Google Cloud.
• Strong proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation and analysis.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Passion for baseball and a deep understanding of sabermetrics and player evaluation methodologies.

Nice to Haves:

• Advanced degree (Master’s or Ph.D.) in a quantitative field.
• Familiarity with additional statistical techniques such as spatial statistics or time series analysis.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital, or veteran status, or any other protected status.

Job Questions:

1. What is one baseball question you’d like to research? Please describe how you’d answer that question. (Max 300 words)

To Apply:
To apply, please follow this link.

Analyst

Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations

Role Summary:
As an Analyst specializing in predictive modeling within our Baseball Operations department, you will contribute significantly to data-driven decision-making processes. Your role involves developing and implementing advanced statistical models, collaborating with cross-functional teams, and aiding in player evaluation and strategic decision-making.

Key Responsibilities:

• Develop and implement predictive models utilizing baseball data.
• Collaborate with cross-functional teams to integrate statistical analyses into cloud-based applications and tools for baseball decision support.
• Stay updated with emerging trends and technologies in data science and baseball analytics, identifying areas for innovation and improvement.
• Provide support to Senior Analysts in model development and data analysis tasks.

Qualifications:

• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field.
• 3+ years of experience in building and deploying statistical models.
• Proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation.
• Strong communication skills to convey technical concepts effectively.
• Passion for baseball and familiarity with sabermetrics and player evaluation methodologies.

Nice to Haves:

• Advanced degree (Master’s or Ph.D.) in a quantitative field.
• Familiarity with additional statistical techniques such as spatial statistics or time series analysis.
• Experience with Bayesian methods using technologies such as Stan or PyMC.
• Familiarity with cloud environments such as AWS, Azure, Snowflake, or Google Cloud.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identify, marital or veteran status, or any other protected status.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

Data Engineer

Marlins – Entry Level
Miami · FL
Player Operations: Team Administration/Operations

Position Summary:
The Miami Marlins are seeking a full-time Data Engineer for the Baseball Analytics department. The candidate will be responsible for designing, implementing, and optimizing ETL processes that ingest, validate, and organize baseball data. The Data Engineer will support the information requirements of our Baseball Operations deparments. Strong applicants will have experience with modern data processes and database management, with extensive knowledge of both SQL and Python.

Responsibilities:

• Continuously improve the department’s access to information; design, develop, and optimize ETL processes to ingest data from new data sources.
• Improve completeness, cleanliness, and timeliness of existing data sources.
• Write automated, production-quality Python and SQL scripts using effective code practices.
• Maintain high data quality standards. Proactively identify, diagnose, and resolve data issues.
• Learn, extend, and improve the existing database architecture – ensuring data is well organized for end-users and easy to connect to other data sources.
• Maintain a version-controlled code repository of ETL scripts.
• Collaborate with Baseball Operations staff to understand our organization’s information needs.
• Prioritize workflows effectively and share relevant expertise to best support data users.

Qualifications & Requirements:

• Strong work ethic, attention to detail, and ability to self-direct.
• Passion for engineering development, creativity, intellectual curiosity.
• Excellent interpersonal, verbal, and written communication skills.
• Demonstrated experience with SQL and Python.
• Demonstrated experience with ETL/ELT processes and database management.
• Experience working with data in various formats including JSON, CSV, etc.
• Degree in Computer Science, Information Systems, or equivalent.
• Understanding of and passion for baseball and baseball research.
• Ability to work extended hours including evenings, weekends, and holidays.

Nice to Haves:

• Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Familiarity with cloud computing platforms such as Snowflake, GCP, or AWS.
• Knowledge of container-based environments, including Docker and Kubernetes.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

As I continue to meticulously make my way through the prospect lists (Cincinnati is next), I’ve pushed all the scouting reports for rookies who are currently on National League active rosters live to The Board. These reports often include updated notes from this spring. The American League guys went up earlier in the week. Today’s players are:

• Blaze Alexander, SS, Arizona Diamondbacks
• Bryce Jarvis, MIRP, Arizona Diamondbacks
• Jorge Barrosa, CF, Arizona Diamondbacks
• Anthony Molina, MIRP, Colorado Rockies
• Victor Vodnik, SIRP, Colorado Rockies
• Sixto Sánchez, SIRP, Miami Marlins
• Hunter Stratton, SIRP, Pittsburgh Pirates
• Ryder Ryan, SIRP, Pittsburgh Pirates
• Landen Roupp, SIRP, San Francisco Giants
• Keaton Winn, SP, San Francisco Giants
• Erik Miller, SIRP, San Francisco Giants
• Nick Avila, SIRP, San Francisco Giants
• Tyler Fitzgerald, UTIL, San Francisco Giants
• Michael Siani, CF, St. Louis Cardinals
• Ryan Fernandez, SIRP, St. Louis Cardinals
• Pedro Pagés, C, St. Louis Cardinals
• Nasim Nuñez, SS, Washington Nationals
• Trey Lipscomb, 3B, Washington Nationals

Read the rest of this entry »