Ben Lindbergh and guest co-host Jesse Thorn of Maximum Fun banter about Bryce Harper signing with the Phillies and the intriguing NL East, Jesse’s Giants fandom, being an ambassador of baseball to non-fans, and Jesse’s beliefs about baseball fashion, then preview the 2019 St. Louis Cardinals (30:00) with man of many outlets Will Leitch, and the 2019 San Francisco Giants (1:09:47) with SFBay News Giants beat writer Julie Parker.
Pitchers learn and develop different pitches, and they do so at varying stages of their lives and careers. It might be a curveball in high school, a cutter in college, or a changeup in A-ball. Sometimes the addition or refinement is a natural progression — graduating from Pitching 101 to advanced course work — and often it’s a matter of necessity. In order to get hitters out as the quality of competition improves, a pitcher needs to optimize his repertoire.
In this installment of the series, we’ll hear from three pitchers — Ray Black, Tanner Scott, and Matt Strahm— on how they learned and developed their sliders.
———
Ray Black, San Francisco Giants
“When I was in high school, I had the privilege of working with Andy Ashby, who is pretty much a legend around Wilkes-Barre. We messed around a little bit with a slider at the time, but I really started developing it more coming back from my Tommy John surgery. I blew out my senior year.
“My curveball was too big, too loopy, and easy to distinguish. I think I was throwing it almost 20 mph slower than my fastball. When you’re younger, you see this big breaking ball, somebody is diving out of the way, and you’re like, ‘Man, that’s nasty.’ But when you get up to the higher levels, you realize it’s more deception; it’s not just movement. I tried to develop a slider like a cutter. That’s what I think when I throw my slider: cutter. If I don’t, I always end up trying to make it bigger than it should be. I need to try to keep it tight, keep it small. Read the rest of this entry »
When publishing our lists — in particular, the top 100 — we’re frequently asked who, among the players excluded from this year’s version, might have the best chance of appearing on next year’s version. Whose stock are we buying? This post represents our best attempt to answer all of those questions at once.
This is the second year that we’re doing this, and we have some new rules. First, none of the players you see below will have ever been a 50 FV or better in any of our write-ups or rankings. So while we think Austin Hays might have a bounce back year and be a 50 FV again, we’re not allowed to include him here; you already know about him. We also forbid ourselves from using players who were on last year’s inaugural list. (We were right about 18 of the 63 players last year, a 29% hit rate, though we have no idea if that’s good or not, as it was our first time engaging in the exercise.) At the end of the piece, we have a list of potential high-leverage relievers who might debut this year. They’re unlikely to ever be a 50 FV or better because of their role, but they often have a sizable impact on competitive clubs, and readers seemed to like that we had that category last year.
We’ve separated this year’s players into groups or “types” to make it a little more digestible, and to give you some idea of the demographics we think pop-up guys come from, which could help you identify some of your own with THE BOARD. For players who we’ve already covered this offseason, we included a link to the team lists, where you can find a full scouting report. We touch briefly on the rest of the names in this post. Here are our picks to click:
Teenage Pitchers
Torres was young for his draft class, is a plus athlete, throws really hard, and had surprisingly sharp slider command all last summer. White looked excellent in the fall when the Rangers finally allowed their high school draftees to throw. He sat 92-94, and his changeup and breaking ball were both above-average. Pardinho and Woods Richardson are the two advanced guys in this group. Thomas is the most raw but, for a someone who hasn’t been pitching for very long, he’s already come a long way very quickly.
The “This is What They Look Like” Group
If you like big, well-made athletes, this list is for you. Rodriguez was physically mature compared to his DSL peers and also seems like a mature person. The Mariners have indicated they’re going to send him right to Low-A this year. He could be a middle-of-the-order, corner outfield power bat. Luciano was the Giants’ big 2018 July 2 signee. He already has huge raw power and looks better at short than he did as an amateur. Canario has elite bat speed. Adams was signed away from college football but is more instinctive than most two-sport athletes. Most of the stuff he needs to work on is related to getting to his power.
Advanced Young Bats with Defensive Value
This is the group that produces the likes of Vidal Brujan and Luis Urias. Edwards is a high-effort gamer with 70 speed and feel for line drive contact. Marcano isn’t as stocky and strong as X, but he too has innate feel for contact, and could be a plus middle infield defender. Perez has great all-fields contact ability and might be on an Andres Gimenez-style fast track, where he reaches Double-A at age 19 or 20. Ruiz is the worst defender on this list, but he has all-fields raw power and feel for contact. He draws Alfonso Soriano comps. Palacios is the only college prospect listed here. He had three times as many walks as strikeouts at Towson last year. Rosario controls the zone well, is fast, and is a plus defender in center field.
Corner Power Bats
Nevin will probably end up as a contact-over-power first baseman, but he might also end up with a 70 bat. He looked great against Fall League pitching despite having played very little as a pro due to injury. Lavigne had a lot of pre-draft helium and kept hitting after he signed. He has all-fields power. Apostel saw reps at first during instructs but has a good shot to stay at third. He has excellent timing and explosive hands.
College-aged Pitchers
It’s hard to imagine any of these guys rocketing into the top 50 overall. Rather, we would anticipate that they end up in the 60-100 range on next year’s list. Gilbert was a workhorse at Stetson and his velo may spike with reshaped usage. Singer should move quickly because of how advanced his command is. Lynch’s pre-draft velocity bump held throughout the summer, and he has command of several solid secondaries. Abreu spent several years in rookie ball and then had a breakout 2018, forcing Houston to 40-man him to protect him from the Rule 5. He’ll tie Dustin May for the second-highest breaking ball spin rate on THE BOARD when the Houston list goes up. We’re intrigued by what Dodgers player dev will do with an athlete like Gray. Phillips throws a ton of strikes and has a good four-pitch mix.
Bounce Back Candidates
The Dodgers have a strong track record of taking severely injured college arms who return with better stuff after a long period of inactivity. That could be Grove, their 2018 second rounder, who missed most of his sophomore and junior seasons at West Virginia. McCarthy was also hurt during his junior season and it may have obscured his true abilities. Burger is coming back from multiple Achilles ruptures, but was a strong college performer with power before his tire blew.
Catchers
We’re very excited about the current crop of minor league catchers. Naylor is athletic enough that he’s likely to improve as a defender and he has rare power for the position.
Potentially Dominant Relievers
These names lean “multi-inning” rather than “closer.” Gonsolin was a two-way player in college who has been the beneficiary of sound pitch design. He started last year but was up to 100 mph out of the bullpen the year before. He now throws a four seamer rather than a sinker and he developed a nasty splitter in 2017. He also has two good breaking balls. He has starter stuff but may break in as a reliever this year.
After having typically appeared in the hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have now been released at FanGraphs for more than half a decade. The exercise continues this offseason. Below are the projections for the San Francisco Giants.
Be very careful when scrolling down to look at the depth chart. The way these things work, the first thing you’ll see is the outfield, which is likely to remain an absolutely brutal mess, one that couldn’t even be half-solved by a Ronald Acuña/Juan Soto-esque rise to power by Heliot Ramos, one of San Francisco’s few top prospects. Let’s put it this way: ZiPS projects Rule 5 draftee Drew Ferguson to be arguably the best outfielder on the team, with two of the other top outfielders being a minor-league signing and a waiver claim from the Rangers. The good news is that most of the group actually projects above replacement-level, so there’s a weird amount of adequacy in terms of the depth, but the projections give absolutely none of the team’s current group a chance to have much of an upside.
Things get sunnier when you look at the infield, which is the primary reason the Giants are likely to still be projected above the Padres for one last run (though probably just for one, unless the Padres are notably unlucky or incompetent). ZiPS essentially projects improvement for all of the team’s infield starters, kind of a rarity given the generally justifiable grumpy conservativeness to which projections systems are prone. The quality of the infield lends itself well to the argument that the Giants probably ought to have won more games last year. Not enough to be a playoff team, mind you, but at least enough to tone down the bleakness.
The worrisome thing about the offense is that most of the highlight players are at ages where their downsides can still hit like a ton of bricks and fast, and there’s no counterbalancing breakout potential. To the team’s credit, they’ve given every indication they realize that the outfield is bit of a tire fire. The Giants were in on all of the Marlins outfielders last winter, brought in Andrew McCutchen for 2018 (before trading him to the Yankees), and are now courtingBryce Harper. If any team is able to convince Harper to sign a shorter-term contract, San Francisco seems like a possibility; a superstar season from Harper could get the team into plausible contention, given their outfield weakness. And time is of the essence — if the infield starters don’t bounce back, this team is absolute toast.
I am still confused as to the baseball purpose of Pablo Sandoval remaining on the roster. Did someone in the organization finish last in their fantasy baseball league, and this is their punishment?
Pitchers
Johnny Cueto could theoretically return in September, but I think the smart money is still on him not making an appearance until 2020. Which, in addition to being unfortunate for Cueto, is rather bad timing for the Giants, who are less likely to be playing meaningful games in 2020 than this year.
Madison Bumgarner only gets a two-WAR projection, but that’s over just 147 innings, due largely to his attendance over the last two seasons, when he’s missed time due to freak injuries, one caused by something somewhat unusual (a dirt bike), the other by something somewhat mundane (a line drive). Since no elbow or shoulders were involved, I’m more optimistic about Bumgarner getting back to the 200 inning range than the projections are, which would boost his WAR to around three. ZiPS projects Dereck Rodriguez to be roughly league-average, which will be disappointing to Giants fans after a season in which Rodriguez was one of the team’s few highlights, but he has a very short record track record and a low K rate, so ZiPS isn’t putting him on the Kyle Hendricks pile yet. He’s certainly unlikely to repeat the 0.68 HR/9, even playing in Oracle Park.
The bullpen isn’t flashy, but the front-end is solidly above-average, and the team’s depth projects as more than adequate for its needs. San Francisco has shown an ability to turn random pieces into good relievers, and has a solid record with reclamation projects, such as Sam Dyson.
Bench and Prospects
After Joey Bart and Heliot Ramos, both likely to get official projections next year, the cupboard gets bare quickly. ZiPS does project Shaun Anderson to be a decent No. 3 starter for a time in his prime, and it has a long-term fascination with Conner Menez, but there’s just not much there there. Honestly, if the Giants had better prospects after their top two guys, I’d expect them to already have been traded for a starting pitcher. Most teams have a position player or two who ZiPS thinks projects better than the scouting reports indicate, but I’m just not seeing anybody here. Despite playing in the Pacific Coast League, Triple-A Sacramento only had one player who hit 15 homers (Chris Shaw).
One pedantic note for 2019: for the WAR graphic, I’m using FanGraphs’ depth chart playing time, not the playing time ZiPS spits out, so there will be occasional differences in WAR totals.
Disclaimer: ZiPS projections are computer-based projections of performance. Performances have not been allocated to predicted playing time in the majors — many of the players listed above are unlikely to play in the majors at all in 2019. ZiPS is projecting equivalent production — a .240 ZiPS projection may end up being .280 in AAA or .300 in AA, for example. Whether or not a player will play is one of many non-statistical factors one has to take into account when predicting the future.
Players are listed with their most recent teams, unless I have made a mistake. This is very possible, as a lot of minor-league signings go generally unreported in the offseason.
ZiPS’ projections are based on the American League having a 4.29 ERA and the National League having a 4.15 ERA.
Players who are expected to be out due to injury are still projected. More information is always better than less information, and a computer isn’t the tool that should project the injury status of, for example, a pitcher who has had Tommy John surgery.
Both hitters and pitchers are ranked by projected zWAR — which is to say, WAR values as calculated by me, Dan Szymborski, whose surname is spelled with a z. WAR values might differ slightly from those which appear in full release of ZiPS. Finally, I will advise anyone against — and might karate chop anyone guilty of — merely adding up WAR totals on a depth chart to produce projected team WAR.
Please note, this posting contains three positions.
Position: Baseball Operations Analyst
Reports To: Director of Baseball Analytics Department: Baseball Operations Status: Full-Time/Exempt Location: Scottsdale, Arizona
Position Summary:
The San Francisco Giants are seeking an Analyst to join the Baseball Operations department. This individual will be part of the R&D team and provide research and analysis to support the front office and player development staff. This position will also work closely with the application development team to design and develop statistical models and tools using advanced data sources within new and existing applications. The ideal candidate will possess strong analytical skills, the ability to communicate effectively to non-technical people, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
Provide statistical analysis and quantitative research to support Baseball Operations staff
Communicate analysis to Baseball Operations staff effectively
Research, design, and test predictive and statistical models using data and technology to support all aspects of Baseball Operations
Collaborate with application development team to design and integrate analytic tools into existing baseball information system
Maintain understanding of new public baseball research and emerging statistical tools, as well as all potential vendor data/technology options
Knowledge and Skills:
Bachelor’s degree in computational field, such as statistics, engineering, computer science, or applied math
Proficiency with SQL and relational databases (Microsoft SQL preferred)
Bilingual in Spanish is a plus.
Experience with additional programming languages (e.g. R, Python) is strongly preferred
Understanding of statistical modeling and machine learning techniques
Ability to communicate effectively to all members of Baseball Operations
Passion for baseball, intellectual curiosity, and understanding of sabermetric concepts
Ability to work evenings, weekends, holidays, and travel as dictated by the baseball calendar
Must be willing to travel extensively
To Apply:
To apply, please submit your cover letter and resume here. The deadline to apply is February 15, 2019.
Position: Data Scientist
Reports To: Director of Baseball Analytics Department: Baseball Operations Status: Full-Time/Exempt
Position Summary:
The San Francisco Giants are seeking a Data Scientist to join the Baseball Operations department. This individual will be part of the R&D team and develop advanced predictive models to support front office and in-game decision making. This position will also work closely with the application development team to integrate these decision-support tools into new and existing applications. The ideal candidate will possess advanced data modeling skills, the ability to communicate effectively to non-technical people, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
Research, design, and test predictive and statistical models using data and technology to support all aspects of Baseball Operations
Collaborate with application development team to design and integrate decision-support systems and tools into baseball information system
Share technical expertise with junior members of department
Maintain understanding of new public baseball research and emerging statistical tools, as well as all potential vendor data/technology options
Communicate findings to Baseball Operations staff effectively
Stay abreast of ongoing technical and baseball research
Knowledge and Skills:
Graduate degree in computational field, such as computer science, statistics, engineering, or applied math
Four years of work experience in mathematical, statistical, and predictive modeling
Understanding of statistical modeling and machine learning techniques
Expertise in programming languages (e.g. R, Python)
Proficiency with SQL and relational databases
Ability to communicate effectively to all members of the Baseball Operations staff
Passion for baseball, intellectual curiosity, and understanding of sabermetric concepts
To Apply:
To apply, please submit your cover letter and resume here. The deadline to apply is February 15, 2019.
Position: Sports Science Analyst
Reports To: Director of Baseball Analytics Department: Baseball Operations Status: Full-Time/Exempt
Position Summary:
The San Francisco Giants are seeking a Sports Science Analyst to join the Baseball Operations department. This individual will be part of the R&D team and provide research and analysis to support the medical, training, and player development staffs. This position will also work closely with the application development team to design and develop statistical models and tools using advanced data sources within new and existing applications. The ideal candidate will possess a strong foundation with advanced training in performance science disciplines, strong analytical skills, the ability to communicate effectively to non-technical people, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
Collaborate with medical and training staffs to integrate performance tracking information into sports science, injury prevention and training programs
Collect and manage sports science data sources across the Giants organization
Provide analysis and reporting on sports science data to optimize player performance and minimize injury risk
Explore new sports science technologies and maintain knowledge of public research to provide innovative value to the organization
Conduct quantitative research to support ad-hoc requests from Medical staff to improve decision-making process
Work with application development and analytics teams to integrate data sources into internal information systems
Knowledge and Skills:
Work experience and/or degree in analytical field, such as statistics, computer science, applied math, or engineering
Foundational knowledge in performance science disciplines, including biomechanics, sports medicine, exercise physiology, and/or athletic training
Experience working with large data sets
Interest and comfort working with new performance tracking technology
Familiarity with programming languages and concepts is a plus
Ability to communicate effectively to all members of the Baseball Operations and Medical staffs
To Apply:
To apply, please submit your cover letter and resume here. The deadline to apply is February 15, 2019.
The Giants are an equal employment opportunity employer and consider applicants for all positions 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, they will consider for employment qualified applicants with arrest and conviction records. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The content in this posting was created and provided solely by the San Francisco Giants.
One season ago, Derek Holland was one of the worst pitchers in baseball. There were 134 pitchers in the majors who threw at least 100 innings. Holland wound up with the fifth-worst ERA-. He wound up with the single worst FIP-, and the single-worst xFIP-. He allowed the second-highest wOBA, and he allowed the very highest expected wOBA, based on Statcast. It was a new low for Holland in what had earlier been a promising career. After peaking with the Rangers when the Rangers were good, Holland fought knee trouble and shoulder trouble. After that miserable 2017 with the White Sox, Holland joined the Giants on a minor-league contract.
Last year’s Giants were bad. One of the things that happens when a team is bad is that the team also doesn’t draw very much attention. Criticism is heaped upon the good players who disappoint, and optimists might hunt for bright spots among youth. But bad teams are by and large forgotten or ignored as a summer wears on. As a consequence of that, you might not have noticed Derek Holland’s 2018. I know I didn’t, for a while. It was a terrible year for the Giants. It was a successful year for Holland.
The Giants don’t project to be a good baseball team in 2019. That doesn’t mean they won’t be a good baseball team in 2019, but the odds are against them. They’re unlikely to be as good as the Dodgers. They’re unlikely to be as good as the Rockies. They might’ve been passed by the Padres, and they might still be worse than the Diamondbacks. With a farm system that’s in similarly mediocre shape, something had to change, and indeed, the Giants are now under new management. Farhan Zaidi and the rest of his front office are in the process of figuring out their next steps.
Some form of rebuild or step back seems inevitable. And the player who’s drawn the most public attention is Madison Bumgarner, on account of his having become a household name. Bumgarner could be traded, but then again, there are certain incentives pushing the Giants to giving him a few months to build up his value. It would also be difficult for Zaidi to make dealing Bumgarner one of his first major decisions. Something that could and should happen sooner is a trade of Tony Watson, and/or a trade of Will Smith. Both of them are veteran lefty relievers. I’m here to advocate for Smith. He’s the one any contender should want to get.
The following article is part of Jay Jaffe’s ongoing look at the candidates on the BBWAA 2019 Hall of Fame ballot. Originally written for the 2013 election at SI.com, it has been updated to reflect recent voting results as well as additional research. For a detailed introduction to this year’s ballot, and other candidates in the series, use the tool above; an introduction to JAWS can be found here. For a tentative schedule, and a chance to fill out a Hall of Fame ballot for our crowdsourcing project, see here. All WAR figures refer to the Baseball-Reference version unless otherwise indicated.
If Roger Clemens has a reasonable claim as the greatest pitcher of all time, then the same goes for Barry Bonds as the greatest position player. Babe Ruth played in a time before integration, and Ted Williams bridged the pre- and post-integration eras, but while both were dominant at the plate, neither was much to write home about on the base paths or in the field. Bonds’ godfather, Willie Mays, was a big plus in both of those areas, but he didn’t dominate opposing pitchers to the same extent. Bonds used his blend of speed, power, and surgical precision in the strike zone to outdo them all. He set the single-season home run record with 73 in 2001 and the all-time home run record with 762, reached base more often than any player this side of Pete Rose, and won a record seven MVP awards along the way.
Despite his claim to greatness, Bonds may have inspired more fear and loathing than any ballplayer in modern history. Fear because opposing pitchers and managers simply refused to engage him at his peak, intentionally walking him a record 688 times — once with the bases loaded — and giving him a free pass a total of 2,558 times, also a record. Loathing because even as a young player, he rubbed teammates and media the wrong way and approached the game with a chip on his shoulder because of the way his father, three-time All-Star Bobby Bonds, had been driven from the game due to alcoholism.
As he aged, media and fans turned against Bonds once evidence — most of it illegally leaked to the press by anonymous sources — mounted that he had used performance-enhancing drugs during the latter part of his career. With his name in the headlines more regarding his legal situation than his on-field exploits, his pursuit and eclipse of Hank Aaron’s 33-year-old home run record turned into a joyless drag, and he disappeared from the majors soon after breaking the record in 2007 despite ranking among the game’s most dangerous hitters even at age 43. Not until 2014 did he even debut as a spring training guest instructor for the Giants. The reversal of his felony obstruction of justice conviction in April 2015 freed him of legal hassles, and he spent the 2016 season as the Marlins’ hitting coach, though he was dismissed at season’s end.
Bonds is hardly alone among Hall of Fame candidates with links to PEDs. As with Clemens, the support he has received during his first six election cycles has been far short of unanimous, but significantly stronger than the showings of Mark McGwire, Sammy Sosa, and Rafael Palmeiro, either in their ballot debuts or since. Debuting at 36.2% in 2013, Bonds spun his wheels for two years before climbing to 44.3% in 2016 and 53.8% in 2017 thanks to a confluence of factors. In the wake of both Bonds and Clemens crossing the historically significant 50% threshold, the Hall — which in 2014 unilaterally truncated candidacies from 15 years to 10 so as to curtail debate over the PED-linked ones — made its strongest statement yet that it would like to avoid honoring them in the form of a plea to voters from vice chairman Joe Morgan not to honor players connected to steroids. The letter was not well received by voters, but Bonds gained just 2.6 percentage points. Like Clemens, he needs to recapture his momentum to have a shot at reaching 75% by the time his eligibility runs out in 2022.
Department: Information Technology Supervisor: Senior Director, Application Development Status: Full-Time, Exempt
Position Summary:
The San Francisco Giants application development team is seeking an experienced software engineer that will impact the Giants major league and affiliate teams. In this role, you will build tooling, product enhancements and work with a team of baseball minds to evolve the Giants’ baseball systems. The Giants are looking for a candidate with a passion for baseball and technology, who will research and develop new solutions to enhance their applications.
Position Responsibilities:
Design, develop, test, deploy, maintain and improve software applications
Build and maintain web/mobile applications, core software components, and ETL pipelines
Analyze and improve efficiency, scalability, and stability of all baseball systems
Provide excellent customer support for all our baseball systems
Work on projects from conception to completion including building prototypes
Shape the future of our baseball platforms
Technical Skills/Experience:
Cloud Computing: Google Cloud Platform, Amazon Web Services, or Microsoft Azure
General purpose programming languages: Java, C/C++, C#, Python, JavaScript, or Go
Databases/stores: Microsoft SQL Server, Google BigQuery, MySQL, PostgreSQL, MongoDB, or Redis
Web application frameworks: Django, Flask, Angular, Polymer, React, or Bootstrap
Distributed systems and data processing frameworks: Spark, Kafka, Kubernetes, or Docker
Knowledge and Skills:
Bachelor’s degree in Computer Science, a related technical field or equivalent practical experience
4+ years of relevant work experience, including development and/or test automation experience
Knowledge of algorithms and fundamental computer science concepts preferred
Strong communication skills and great product sense
Significant experience in system design as well as scaling systems
Strong quantitative abilities and existing knowledge of baseball analytics
To Apply:
To apply, please submit your cover letter and resume here.
The deadline to apply is Friday, January 11, 2019.
Position: Application Development Assistant
Reports To: Senior Director, Application Development Department: Information Technology Status: Part-Time/Non-Exempt
Position Summary:
This individual will focus on projects related to baseball development. Projects may include acquiring new data, working on ETL, or front-end development. Additionally, this individual will assist in the daily support and maintenance of The San Francisco Giants baseball information system.
Position Responsibilities:
Complete assigned projects related to baseball development and baseball analytics
Identify new and unique approaches to accomplish baseball objectives
Document all work so that it can be understood and used by other members of the baseball development team
Assist in administrative and support tasks related to baseball information systems
Technical Skills:
General understanding of scripting language and databases.
Experience in .Net, SQL, CSS and JS a plus
A technical test will be required as part of the interview process
Knowledge and Skills:
Bachelor’s Degree in Computer Science, Electrical Engineering or Information Systems, or equivalent experience
Strong interest in researching, identifying and applying new techniques and strategic uses of technology
Must be able to work efficiently and multi-task in a high stress environment and easily adapt to shifting priorities
Self-motivated, detail-oriented, highly organized and deadline driven
Resourcefulness, desire and ability to learn quickly and acquire new technical skills
Excellent written and verbal communication skills. Technical documentation experience required.
Patience and ability to satisfy demanding customers while effectively managing workload and expectations
Team player who prefers a collaborative environment
Committed to going “above and beyond” to serve the customer and enhance their technical knowledge
Knowledge of and passion for baseball
To Apply:
To apply, please submit your cover letter and resume here.
Deadline to apply is Friday, January 18, 2019.
The content in this posting was created and provided solely by the San Francisco Giants.
There’s a pretty good chance you haven’t heard of Ryan Noda. That may even be the case if you follow the team that took him in the 15th round of the 2017 draft. Playing in a Toronto Blue Jays system that boasts numerous top-shelf prospects, Noda is anything but a notable name.
Expect that to change if he continues to do what he’s been doing. In 803 professional plate appearances, the 22-year-old University of Cincinnati product is slashing — drum roll, please — a nifty .293/.451/.515.
Oh, that OBP.
Here’s a fun comp: In his first professional season, Kevin Youkilis had a .504 OBP in 276 plate appearances. In his first professional season, Noda had a .507 OBP in 276 plate appearances. Both former UC Bearcats were on-base machines in their second year as well, reaching base at .436 and .421 clips respectively. Read the rest of this entry »
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