I like the postseason but on this score it fails: it precludes us from saying anything too definitive about baseball broadly understood. The sample size is just too small. Guys are tired. There are so many pitchers, and a lot of them are used in funny ways. We can’t feel secure that the knowledge gleaned there means anything. Still, October does manage to reveal some truths. For all its oddity, it seeks out certainties. It has replay.

To wit, as Jeff detailed Wednesday night’s ALCS game featured a controversial Joe West fan-interference call on a would-be Jose Altuve home run. The call was challenged but was allowed to stand because replay officials couldn’t determine if the fans entered the field of play to prevent Mookie Betts from catching the ball. (If Betts were judged to have entered the stands, the interference question would be moot, under rule 6.01(e) of the Official Baseball Rules 2018 edition, and also the general principle that teenagers in horror films ought to know better than to go into the basement.)

Here are the fans in question. An obvious bunch of leaning scamps, but a blurry bunch at a tough angle.

The officials’ struggle to reach a definitive conclusion, to find “clear and convincing evidence,” was largely the result of this man, whose body happened to block the one view of the play the replay center needed most.

It is here, in our failed quest to be sure, that we learn something. We find that it is possible to be simultaneously quite good and quite bad at one’s job.

Quite good, because surely displaying a close, keen interest in the goings on at the wall is importantly necessary to assuring the physical safety of both players and fans; quite bad, because, entirely by accident, this security man has robbed us of our ability to be sure, at precisely the moment we crave being sure the most. We are secure in body but unmoored in the mind, and him? He is Schrödinger’s Employee of the Month.

Betts maybe wasn’t interfered with. Joe West probably got the initial call wrong; sometimes we can hazard a confident guess. But absent certainty on either score, there is some value, especially in times when we can claim to know so little, in confirming that humans are possessed of multitudes, even if only in small samples.

Please note, this posting contains multiple positions.

Position: SQL Developer

Position Overview:
The New York Yankees organization is accepting applications for an experienced SQL developer in their Baseball Operations department. This position reports to their senior Baseball Operations executives and will assist in the development of database systems. Their goal is to integrate these systems with existing baseball analytics tools and web-applications as part of their player information and evaluation platform.

Primary Responsibilities:

• Analyze business requirements and design reports using stored procedures to support Yankees front office baseball applications
• Perform data integrity checks between systems to identify discrepancies
• Set up ETL operations to import and normalize data from different data providers
• Performance tuning of SQL objects and queries
• Work with major and minor league pitch, hit and player tracking datasets, college and other amateur data, international baseball data, and many other baseball data sources

Qualifications and Experience:

• Must have 3-5 years experience developing in T-SQL
• Proven experience developing stored procedures, CRUD operations and advanced data manipulation skills with T-SQL (CTEs, pivots, temp tables, XML)
• Ability to design and layout a database schema from scratch, including table objects, constraints, indexes, foreign keys, and triggers
• Experience in ETL operations, specifically loading data via different techniques, including bulk loading using BCP operations
• Experience performance tuning of queries and database objects, including things like table partitioning, index tuning, query hints, locking, schema normalization
• Ability to utilize SQL Profiler and a thorough understanding of execution plans
• Excellent communication and problem-solving skills – must be able to breakdown a complex task and put together an execution strategy with little guidance
• Proven understanding of typical baseball data structures, basic and advanced baseball metrics, and knowledge of current baseball research areas

Job Questions:

• How did you hear about this job?
• Do you have 3+ years experience writing in T-SQL?
• Describe techniques you have used for performing data loading operations.
• How you would approach the identification of a performance issue in a SQL query?
• Have you ever worked with any baseball datasets before? If so, please describe which ones and how you used them.

To Apply:
To apply, please complete the following application.

Position: Web Application Developer

Primary Responsibilities:

• Assist in the design and implementation of web-based tools and applications for senior baseball operations personnel
• Migrate and adapt existing web applications for mobile devices and various hardware platforms
• Interface with all departments within Baseball Operations (scouting, player development, coaching, analytics) to build tools and reporting capabilities to meet their needs
• Work with major and minor league pitch, hit and player tracking datasets, college and other amateur data, international baseball data, and many other baseball data sources

Qualifications and Experience:

• Bachelor’s degree in Computer Science or related field
• 3-5 years experience with data-driven web application development using:
  • ASP.NET/C# using MVC and WebAPI
  • nHibernate or other O/R framework
  • AngularJS and Bootstrap
• An understanding of CSS, cross-browser, and responsive web development, including a strong understanding of desktop vs. mobile UI/UX design techniques
• Familiarity with Microsoft Visual Studio and source code management tools (Subversion, Git, TFS/VSS)
• Proficient in SQL databases and various database design principles (Microsoft SQL Server a plus)
• Knowledge of the software development lifecycle (requirements definition, design, development, testing, implementation, verification), Agile, and industry best practices
• Excellent communication and problem solving skills – must be able to breakdown a complex task and put together an execution strategy with little guidance
• An understanding of typical baseball data structures, basic and advanced baseball metrics, and knowledge of current baseball research areas a plus

Job Questions:

• How did you hear about this job?
• Do you have experience writing database-driven web applications, using ASP.Net/C#?
• Describe one data-driven web application you’ve developed and how you’ve utilized ASP.NET/C# and an RDBMS in its development?
• Do you have experience with AngularJS or other client-side Javascript framework?
• List any active websites or mobile applications you have developed (and the technologies they use) that might showcase your work.

To Apply:
To apply, please complete the following application.

Position: Data Engineer

Description:
The New York Yankees Baseball Operations department is accepting applications for an experienced data engineer with a focus on data quality analysis. This position reports to the senior Baseball Operations executives and will assist in the development and maintenance of the Yankees data processing pipelines.

Primary Responsibilities:

• Prepare, clean, format analytical datasets for processing by data scientists
• Become an expert in the team’s datasets, their strengths and weaknesses, and write code to pull and verify data in response to data scientist requests
• Using R, visualize complex, multi-source data to pinpoint data quality issues
• Build automated pipelines for processing and cleaning data
• Conduct database feature engineering to support ongoing quantitative research
• Work with developers to create and deploy systems for anomaly detection
• Interface with data scientists, software developers, and other baseball operations staff as needed
• Design department-wide principles and workflow for data quality management
• Serve as the main point-of-contact for questions about data structures, definitions, and quality

Qualifications and Experience:

• Bachelor’s degree in Computer Science or related field
• 3+ years of experience developing in SQL (preferably T-SQL)
• 2+ years of experience with data profiling, data modeling, and data pipeline development
• 2+ years of experience developing in R (or a similar statistical programming language), including experience with data manipulation and visualization in that language
• Ability to write succinct code with optimal performance and simplicity
• Excellent communication and problem-solving skills – must be able to break down a complex task and put together an execution strategy with little guidance
• An understanding of typical baseball data structures, basic and advanced baseball metrics, and knowledge of current baseball research areas

Job Questions:

• How did you hear about this job?
• Describe your experience writing in T-SQL.
• Describe your experience writing in R. What packages do you use most?
• Describe your experience with data engineering and the specific techniques you’ve used.
• At a high-level, describe briefly what steps you would take to identify data biases or inconsistencies in an unfamiliar/new dataset?
• Have you ever worked with baseball data sets before? If so, please describe which ones and how you used them.

To Apply:
To apply, please complete the following application.

Position: Associate, Quantitative Analysis

Description:
This position is a rigorous 12-month program geared to prepare entry level candidates for a career within the Baseball Operations industry.

Responsibilities:

• Assist in research and analysis of various baseball topics
• Design, test and implement predictive models using advanced statistical techniques
• Prepare, manage, and visualize large-scale data sets
• Develop processes for monitoring and ensuring data quality across multiple data sources
• Responsibilities may also include data collection and entry, running database queries and administrative tasks

Qualifications:

• Bachelor’s degree or higher in a Mathematics, Statistics, Computer Science or related field required
• Experience building predictive models, preferably in R
• Computer programming experience
• Experience using SQL
• Familiarity with current baseball research
• Understanding of fundamental concepts in statistics and probability

Job Questions:

• How did you hear about this job?
• When are you available to start?
• What classes have you completed in math, statistics, probability, and/or computer science?
• Describe any previous experience building statistical models.
• Which programming languages are you proficient in and what is your preferred language? If applicable to the language, please describe any libraries/packages you use.
• Describe any previous experience using SQL, if any.
• Please list any previous baseball/softball experience. This can include playing experience, research experience, coaching experience, writing experience, and more.
• Will you now or in the future need visa sponsorship status to lawfully work in the United States?

To Apply:
To apply, please complete the following application.

Position: Associate, Baseball Operations

Description:
This position is a rigorous 12-month program geared to prepare entry level candidates for a career within the Baseball Operations industry.

Responsibilities:

• Coordinate and prepare advance scouting material for the New York Yankees
• Support the Baseball Operations and Pro Scouting staffs with daily logistical tasks
• Chart select games from video, as well as execute additional video projects
• Introductory level player evaluation
• Assist with various research tasks
• Data collection and entry
• Administrative tasks as assigned

Qualifications:

• Bachelor’s degree required
• Experience working with BATS coaching system
• Must be able to recognize pitch types and know how to score a baseball game
• General understanding of MLB rules and regulations
• Detail oriented and organized
• Strong verbal communication and collaborative skills
• Experience working with video and in baseball

Job Questions:

• How did you hear about this job?
• What is the earliest date that you are available to start the Associate program?
• What are your favorite statistics for evaluating baseball players?
• What are your favorite baseball-related websites, books, or podcasts?
• Who do you think are the five best starting pitchers in MLB right now?
• Do you have any previous baseball or softball experience? Please provide specific examples.
• Will you now or in the future need visa sponsorship status to lawfully work in the United States?

To Apply:
To apply, please complete the following application.

These descriptions are intended to describe the type of work being performed by a person assigned to these positions. They are not an exhaustive list of all duties and responsibilities required by the employee. The New York Yankees is an Equal Opportunity Employer. The company is committed to the principles of equal employment opportunity for all employees and applicants for employment.

Position: Boston Red Sox Analyst

Location: Boston, MA

Description:
The Boston Red Sox are seeking an Analyst for the team’s Baseball Analytics department. The role will support all areas of Baseball Operations while working closely with the SVP/Assistant GM, Director of Baseball Analytics, and the department’s team of analysts.

This is an opportunity to work in a fast-paced, intellectually curious environment and to impact player personnel and strategic decision making.

Responsibilities:

• Statistical modeling and quantitative analysis of a variety of data sources, for the purpose of player evaluation, strategic decision-making, decision analysis, etc.
• Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of the Baseball Operations leadership.
• Maintain working expertise of leading-edge analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models, and algorithms.
• Other projects and related duties as directed by the Director, Baseball Analytics, and other members of Baseball Operations leadership.

Qualifications:

• Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, or operations research.
• Demonstrated experience with baseball data analysis.
• Advanced understanding of statistical methods or machine learning techniques.
• Proficiency with modern database technologies including SQL.
• Demonstrated experience with programming languages (e.g., R or Python).
• Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.
• Proficiency in Microsoft Office (Excel, PowerPoint, Word).
• Demonstrated work ethic, passion for baseball, and strong baseball knowledge, including familiarity with current baseball research and analysis.
• Attention to detail while also having the ability to work quickly and balance multiple priorities.
• Experience working for a major league club preferred.
• Ability to work evening, weekend, and holiday hours is a must.
• Other programming and database skills are a plus.

To Apply:
To apply, please send an email to analyticsresume@redsox.com with the subject “Office Analyst”. Please include the following items/answer:

• Updated resume
• Example of analysis you’ve done, preferably related to baseball.
• What is a project that you believe would add substantial value to a baseball team? Please describe the project and provide an overview of how you would complete it.

We’ve rolled out some interface updates to the Splits Leaderboards.

The biggest change is the addition of quick splits and a ribbon control interface. The quick splits represent the most frequently used splits: home/away, handedness, and starting pitcher/relief pitcher. To keep the control area of the board condense, we implemented a ribbon / tabbed interface for the controls. If you would still like to see everything at once, you can click “Show All”.

The data export button has been moved closer to the data grid and will now export only the data and stats on the current board.

We are in the process of designing more data features and stats for this board. And if you notice any bugs or errors, please let us know.

Position: Boston Red Sox Major League Clubhouse Analyst

Location: Boston, MA

Description:
The Boston Red Sox seek an analyst to support the major league coaching staff while working closely with the major league manager, senior analyst in Baseball Analytics, and Advance Scouting department.

This is an opportunity to work in a fast-paced, intellectually curious environment and to potentially impact player performance and on-field strategy.

Responsibilities:

• Statistical modeling and quantitative analysis of a variety of data sources, for the purpose of optimizing on-field player performance and strategic decision-making.
• Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of the major league coaching staff.
• Travel with the major league team throughout the season, including to the Red Sox spring training facility. During the offseason this position will be based in Boston working with Baseball Analytics.
• Maintain working expertise of leading-edge analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models, and algorithms.
• Other projects and related duties as directed by the major league manager, senior analyst in Baseball Analytics, and other members of Baseball Operations leadership.

Qualifications:

• Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, or operations research.
• Demonstrated experience with baseball data analysis.
• Advanced understanding of statistical methods or machine learning techniques.
• Proficiency with modern database technologies including SQL.
• Demonstrated experience with programming languages (e.g., R or Python).
• Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.
• Proficiency in Microsoft Office (Excel, PowerPoint, Word).
• Demonstrated work ethic, passion for baseball, and strong baseball knowledge, including familiarity with current baseball research and analysis.
• Attention to detail while also having the ability to work quickly and balance multiple priorities.
• Experience working for a major league club preferred.
• Ability to work evening, weekend, and holiday hours is a must.
• Other programming and database skills are a plus.

To Apply:
To apply, please send an email to analyticsresume@redsox.com with the subject “Clubhouse Analyst.” Please include the following items/answers to the following questions:

• Updated resume
• Example of analysis you’ve done, preferably related to baseball
• What is a project that you believe would add substantial value to a baseball team? Please describe the project and provide an overview of how you would complete it.

We are currently seeking additional ballots for a handful of teams for the Fans Scouting Report.

If you follow the Royals, Twins, Rangers, Diamondbacks, Marlins, Pirates or Padres it would be a great help if you took a short amount of time to fill out a ballot.

We could also use ballots for the Orioles, Mets, Rockies, Brewers, White Sox and Dodgers, but these are in a little bit less of dire need.

The compiled results of these ballots end up on the player pages and the leaderboards.

In addition, if you have filled out a valid ballot (at any time this year, ballots before today included), we are going to be randomly selecting 20 users for a free year of FanGraphs Ad Free Membership! These 20 members will be selected when the ballot closes. If you are selected and already have an Ad Free Membership, your membership will be extended for 12 months.

Thank you for your help!

Position: Research and Development Intern

Location: Kent, WA
Employment Details:

• Seasonal, $2500/month.
• No additional benefits.
• Start Date: As early as November 1st, 2018 – no later than December 1st, 2018
• End Date: April 1st, 2019, but exceptional applicants may be offered an extension through the summer
• Candidates will be expected to work ~40 hours per week.
• This is NOT a remote position. It is located in Kent, WA. No financial relocation assistance is offered, though Driveline will put you in contact with a number of affordable short-term housing options upon accepting the role, if offered.

Description:
You will spend your time on the floor checking in with athletes, monitoring their movements, answering questions and integrating with the skill-specific and High Performance teams to collect and analyze athlete data.

You’ll work on projects like:

• Preparing athletes for biomechanical assessments via retroreflective marker placement.
• Running assessment reports in our internal tools software and in industry-standard software like Visual3d, Motive:Body, and OpenSIM.
• Collecting and cleaning data for existing and new research projects.
• Filming athletes using our Edgertronic high-speed cameras, editing the videos, and organizing them for easy access by the coaches, athletes, and research team.
• Writing blog posts and creating social media content to document findings.
• Going through your own independent research project of your choice, from study design, to IRB approval, to data collection and analysis, and finally, publication in a peer-reviewed journal.

R&D interns at Driveline Baseball spend their entire week working on internal projects that push the limits of knowledge in the baseball training space. You will be given unparalleled access to technology that few labs in the world have access to, and you will be tasked with an independent project that will eventually be published in a peer-reviewed journal with your name attached and proper credit given (all publication fees are paid for by Driveline Baseball).

You will be given a laptop and standing desk to work at inside the research lab, on the floor, and with our athletes. This isn’t a front office “hidden” position where you crank out data and no one is counting on you – you will be interfacing daily with professional athletes.

This is an opportunity to advance your career and knowledge base while being paid.

A Great Candidate Demonstrates:

• Quantitative skill and experience in major statistical packages, like R-Studio.
• Previous experience with some form of biomechanical analysis software package.
• Open source project work on GitHub or openly published preprints/blogs to review. Driveline wants to know that you have contributed in some way on your own – this internship is very self-driven and is not micromanaged. Driveline needs independent thinkers, workers, and doers who take initiative.
• Previous experience in coaching or playing baseball. Knowledge of the game within the game results in faster on-ramping at Driveline Baseball.
• Excellent verbal communication skills. Deliver the right message at the right time.
• Excellent “feel.” That mix of empathy, common sense and likability that makes people trust you.
• A mindset for growth and learning. What do you want to be better at?
• Always organized.
• Proactively creates solutions to problems. You can’t help but do a little weekend side-project to solve that issue that’s been bugging you.

Requirements:

• Familiarity with Driveline’s mission, previous research, and blog posts.
• Passion for getting it right. “Smart people know how hard it is to know something.”
• Ability to work independently.
• Must be able to stand for 4+ hours straight.
• Must be able to lift 50+ pounds.

What is Not Required:
Any form of college education. Driveline cares about what you’ve done and what you’re passionate about independently, not what class load you’ve taken.

To Apply:
To apply, please fill out this Google Forms Application. Applications are due by 10/20/2018.

Following the end of the internship, candidates will be evaluated on an individual basis for full-time roles or internship extensions.

Equal Opportunity Employer
Driveline is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, veteran status, or any other status protected under local, state, or federal laws. For employees and applicants for employment who have disabilities, Driveline provides reasonable accommodation.

Last night, in starting Liam Hendriks, the Oakland A’s went with The Opener, using a reliever to start the game with the expectation that he will pitch just one inning. Today, the Brewers have also opted to start a reliever in Brandon Woodruff. Unlike the A’s, the Brewers have no plans to start a reliever for one inning, or to start a reliever for one out like the club did last week when they used a LOOGY in Dan Jennings to pitch only to Matt Carpenter. When the Brewers opted for Jennings, I opined the ploy could be useful in the playoffs:

This situation might have some utility for the Brewers in the playoffs. If the team makes the Wild Card game and faces the Cardinals, then Matt Carpenter is likely to be at the top of the order. If they were to face the Rockies, lefty Charlie Blackmon is likely to lead off. While September’s expanded rosters allow for a greater margin of error, a one-game Wild Card matchup still permits more relievers, as teams need just one starter instead of four in later rounds. The Brewers conducted an interesting experiment somewhat necessitated by a lack of starting options, the unique circumstances of the September roster, and the Cardinals’ lineup.

The situation is less desirable in Game One of a five-game series, as carrying a one-out reliever can be difficult with the number of games and limited roster space. The Brewers opted not to even carry Jennings on the roster, instead indicating that lefty starters Wade Miley and Gio Gonzalez could be used in relief. Bud Black indicated he had no plans to move Charlie Blackmon out of the leadoff spot, and the lack of a LOOGY on the Brewers roster means he doesn’t even need to think about it.

As for the Brewers’ bullpen plans, Craig Counsell indicated on Wednesday the bullpen game he’s using today isn’t likely to mirror what we saw from A’s last night, with a train of relievers, or from the Rays this season, with a reliever followed by a starter:

Look, these aren’t going to be one-out appearances. These are going to be longer appearances. These are going to be two, three-inning appearances that we think we can get through with this.

In choosing Woodruff, Counsell doesn’t even believe he’s starting the game with a reliever.

And I think from our perspective, Woody is–he’s not a reliever. He has the ability to do more than that, if that’s what the game calls for. So that’s–one, he’s throwing the ball really well, and two, I think he has the potential to do a little more than a reliever maybe.

Counsell’s belief is supported by others. Before the season started, Eric Longenhagen said, “He’s a big-league-ready, sinker/slider fourth starter. Between the majors and minors this year, Woodruff has made 21 starts, including six at Triple-A in August. He struggled some overall, but he struck out 26 batters in 20 innings during that time. Since being recalled in September, Woodruff has been utilized as a reliever, but he’s gone multiple inning three times. More importantly, he’s been really good, with a 1.54 FIP, 16 strikeouts and just three walks while allowing only a single run in 12.1 innings. He features a high-90s four-seamer in relief in addition to his slider, and the Brewers hope that can get the club through the lineup at least once.

After Woodruff, Freddy Peralta is an interesting option. He’s started 14 games this season with a solid 3.85 FIP in those starts. In his last outing, he came on in relief of Jennings after that LOOGY start and went 3.2 innings, striking out three and giving up one run before the rest of the bullpen came to the rescue. Miley might be another consideration before the team can turn things over to Josh Hader, Corey Knebel, Joakim Soria, and Jeremy Jeffress.

The Brewers aren’t going with an Opener, and they aren’t going to pitch eight relievers over nine innings. What’s happening today is your more traditional bullpen game. It might not be common in the playoffs, but supplementing a couple long men in Woodruff and Peralta probably gives them a better chance to get outs than going with a starter on short rest like Gonzalez or a struggling Miley.

Please note, this posting contains three positions.

Position: Atlanta Braves R&D Developer Trainee

Location: Atlanta, GA

Description:

The R&D Developer Trainee position emphasizes software and web development as it relates to the Baseball Operations department. The trainee’s main responsibilities will be to assist the R&D department with building proprietary applications for displaying baseball information and visualizations, maintaining existing information management systems, and developing additional productivity tools to aid in Baseball Operations decision making. Candidates must have proven experience with application and/or web development, with interest in baseball and sports analytics research as a strong plus. The position will report to Assistant General Manager, Research and Development.

Note: Applicants for full-season R&D Developer Trainee positions (Jan-Nov), and summer R&D Developer Intern positions (May-Aug) will be considered.

Responsibilities:

• Assist in the development and maintenance of all proprietary software used within the Baseball Operations department.
• Work with department stakeholders to develop, deploy and test applications within IT best practice parameters.
• Build relationships, communicate effectively, and gather feedback from Baseball Operations staff to build new platforms and improve existing systems.
• Perform other duties as assigned.

Required Qualifications:

• Past or expected BA or BS in Computer Science, Computer Engineering, or related technical field of study or equivalent work experience.
• Demonstrated software development experience in one or more programming languages: Java, .NET, Python, Flask, Javascript, AngularJS, C#, C/C++.
• Familiarity with database technologies and SQL. Microsoft SQL Server experience is a plus.
• Ability to learn new technologies, including new coding languages.
• Strong work ethic, initiative, and the ability to solve technical problems.
• Ability to work flexible hours, including some nights and weekends as dictated by the Major League season.
• Must complete a successful background check.

Preferred Qualifications:

• Knowledge of current baseball statistics and analytics used in player evaluation a plus
• Experience with data visualization a plus.
• Web development experience, especially with JavaScript, Angular JS, or Python Flask
• Experience with big data techniques.
• Demonstrated software development work product.
• Collegiate or other baseball playing experience.

To Apply:
If you are interested, please email your resume and any other materials to bravesrdpositions@gmail.com.

Position: Atlanta Braves R&D Analyst Trainee

Location: Atlanta, GA

Description:
The R&D Analyst Trainee will assist Baseball Operations decision-making through the analysis and research of baseball information. The day-to-day responsibilities of this position will revolve around using data analysis to provide insight into player evaluation, performance projection, roster construction, and all other facets of baseball operations decision making, with emphasis on different sub-departments depending on the baseball calendar and needs of the department. The position will report to Assistant General Manager, Research and Development.

Note: Applicants for full-season R&D Analyst Trainee (Jan-Nov), and summer R&D Analyst Intern (May-Aug) positions will be considered.

Responsibilities:

• Perform advanced statistical analysis on large datasets in order to assist in the decision-making of the Baseball Operations department.
• Develop software, databases, models, applications, reports, and other information systems to increase efficiency of the Baseball Operations department.
• Perform ad-hoc research projects as requested and present results in a concise manner.

Required Qualifications:

• Strong foundation in the application of statistical concepts to baseball data, including familiarity with current state of baseball research.
• Experience with SQL and relational databases.
• Experience with statistical modeling software (R or Python preferred).
• Ability to communicate concepts to individuals with diverse baseball backgrounds, including coaches, scouts and executives.
• Ability to work flexible hours, including some nights and weekends as dictated by the Major League season.
• Must complete a successful background check.

Preferred Qualifications:

• Extensive experience with statistical modeling and prediction techniques, including regression, classification, and machine learning.
• Web development experience, especially with JavaScript, Angular JS, or Python Flask.
• Experience with at least one scripting language (e.g. Python, Ruby, Perl).
• Experience with big data techniques a plus.
• Demonstrated baseball or other sports analytics research work product.
• Ability and desire to learn other programming languages as needed.
• Collegiate or other baseball playing experience.

To Apply:
If you are interested, please email your resume and any other materials to bravesrdpositions@gmail.com.

Position: Major League Operations Analyst

Location: Atlanta, GA

Description:
Support the Major League Operations group through the creation of tools for displaying and disseminating data, statistics, and other baseball-related information. The ideal candidate has a strong technical background and can work independently on self-contained projects, as well as an understanding of baseball research concepts and modern gameplay strategies. This position will report to the Director of Major League Operations.

Responsibilities:

• Develop tools and visualizations for disseminating statistical concepts.
• Conduct research projects for the Major League Operations group.
• Help build database and reporting infrastructure to support Major League advance report and coaching staff needs.
• Summarize project results in succinct, actionable format and present findings to the group.
• Work on Major League advance scouting process.

Qualifications:

• Demonstrated track record as self-starter through independently-produced projects and/or writing (via online publication, etc.).
• Strong foundation in the application of statistical concepts to baseball data and the translation of data into actionable baseball recommendations.

Required Qualifications:

• Advanced-level capabilities in R and SQL.

Strongly Preferred Qualifications:

• Experience with at least one scripting language (e.g. Python, Ruby, Perl) and web development experience with Python Flask.
• Demonstrable independent research (published or unpublished) using publicly available datasets (i.e. PITCHf/x, Statcast, etc).

Duration:
January 2019 for calendar year. Depending on candidate qualifications position may be an internship or full-time.

To Apply:
Please email relevant materials, research, and resume to bravesopsjobs@gmail.com.