andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-1923 knowledge-graph by maker-knowledge-mining
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Introduction: Jason Rosenfeld, who has the amazing title of “Manager of Basketball Analytics” at the Charlotte Bobcats, announces the following jobs : Basketball Operations: Statistics Basketball Operations Systems Developer – Charlotte Bobcats (Charlotte, NC) POSITION OVERVIEW The Basketball Operations System Developer will collect and import data to our database, check data, and field requests from the Basketball Operations staff. This position will be instrumental in molding and improving our database to assist the staff in player personnel and coaching efforts. ESSENTIAL DUTIES AND RESPONSIBILITIES • Respond to data and database requests from the front office. • Build user-friendly software tools for use by the basketball operations staff. • Accumulate data from various sources to input and organize into our system to assist the basketball operations staff with decisions. • Check and clean data for accuracy and import to our database. • Provide ideas and play a key ro
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1 This position will be instrumental in molding and improving our database to assist the staff in player personnel and coaching efforts. [sent-2, score-0.506]
2 ESSENTIAL DUTIES AND RESPONSIBILITIES • Respond to data and database requests from the front office. [sent-3, score-0.275]
3 • Build user-friendly software tools for use by the basketball operations staff. [sent-4, score-0.837]
4 • Accumulate data from various sources to input and organize into our system to assist the basketball operations staff with decisions. [sent-5, score-0.947]
5 REQUIRED SKILLS, EXPERIENCE, AND ABILITIES (To perform the job successfully, the candidate should demonstrate the following competencies to perform the essential functions of this job. [sent-10, score-0.41]
6 • Strong coding skills with experience in SQL, C#, and Visual Basic; experience with ASP. [sent-12, score-0.393]
7 • Familiarity with basketball stats and modern advanced statistics and knowledge of basketball stats resources are preferred but not required. [sent-14, score-1.0]
8 • Self-starter with an ability to handle multiple tasks and responsibilities • Ability to maintain the highest level of confidentiality. [sent-16, score-0.557]
9 • Presents self in professional manner and has the ability to interact with all levels of organization and outside contacts. [sent-17, score-0.335]
10 • Excellent communication skills including written and verbal; ability to present ideas clearly and concisely. [sent-20, score-0.604]
11 • Adaptability – adapts to change in the work environment, manages competing demands and is able to handle frequent changes. [sent-23, score-0.372]
12 • Strong computer skills – including all Microsoft Office software programs. [sent-25, score-0.342]
13 Position will work with the Manager, Basketball Analytics to provide statistical and technological solutions for use in player personnel and coaching efforts. [sent-32, score-0.326]
14 REQUIRED SKILLS, EXPERIENCE, AND ABILITIES (To perform the job successfully, the candidate should demonstrate the following competencies to perform the essential functions of this job. [sent-39, score-0.41]
15 • Experience with statistical analysis (including on large data sets) and commonly used statistics packages (especially R), econometrics, data visualization, and basketball analytics is desirable. [sent-41, score-0.703]
16 • Self-starter with an ability to handle multiple tasks and responsibilities, with a willingness to work flexible hours. [sent-44, score-0.498]
17 • Presents self in professional manner and has the ability to interact with all levels of organization and outside contacts. [sent-46, score-0.335]
18 • Excellent communication skills including written and verbal; ability to present ideas clearly and concisely. [sent-49, score-0.604]
19 • Adaptability – adapts to change in the work environment, manages competing demands and is able to handle frequent changes. [sent-52, score-0.372]
20 • Strong computer skills – including all Microsoft Office software programs. [sent-54, score-0.342]
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same-blog 1 1.0000001 1923 andrew gelman stats-2013-07-03-Bayes pays!
Introduction: Jason Rosenfeld, who has the amazing title of “Manager of Basketball Analytics” at the Charlotte Bobcats, announces the following jobs : Basketball Operations: Statistics Basketball Operations Systems Developer – Charlotte Bobcats (Charlotte, NC) POSITION OVERVIEW The Basketball Operations System Developer will collect and import data to our database, check data, and field requests from the Basketball Operations staff. This position will be instrumental in molding and improving our database to assist the staff in player personnel and coaching efforts. ESSENTIAL DUTIES AND RESPONSIBILITIES • Respond to data and database requests from the front office. • Build user-friendly software tools for use by the basketball operations staff. • Accumulate data from various sources to input and organize into our system to assist the basketball operations staff with decisions. • Check and clean data for accuracy and import to our database. • Provide ideas and play a key ro
Introduction: Wayne Folta points me to “EigenBracket 2012: Using Graph Theory to Predict NCAA March Madness Basketball” and writes, “I [Folta] have got to believe that he’s simply re-invented a statistical method in a graph-ish context, but don’t know enough to judge.” I have not looked in detail at the method being presented here—I’m not much of college basketball fan—but I’d like to use this as an excuse to make one of my favorite general point, which is that a good way to characterize any statistical method is by what information it uses. The basketball ranking method here uses score differentials between teams in the past season. On the plus side, that is better than simply using one-loss records (which (a) discards score differentials and (b) discards information on who played whom). On the minus side, the method appears to be discretizing the scores (thus throwing away information on the exact score differential) and doesn’t use any external information such as external ratings. A
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Introduction: David Shor sends along a job announcement for Civis Analytics, which he describes as “basically Obama’s Analytics team reconstituted as a company”: Data Scientist Position Overview Data Scientists are responsible for providing the fundamental data science that powers our work – including predictive analytics, data mining, experimental design and ad-hoc statistical analysis. As a Data Scientist, you will join our Chicago-based data science team, working closely and collaboratively with analysts and engineers to identify, quantify and solve big, meaningful problems. Data Scientists will have the opportunity to dive deeply into big problems and work in a variety of areas. Civis Analytics has opportunities for applicants who are seasoned professionals, brilliant new comers, and anywhere in between. Qualifications · Master’s degree in statistics, machine learning, computer science with heavy quant focus, a related subject, or a Bachelor’s degree and significant work ex
Introduction: This is an echo of yesterday’s post, Basketball Stats: Don’t model the probability of win, model the expected score differential . As with basketball, so with baseball: as the great Bill James wrote, if you want to predict a pitcher’s win-loss record, it’s better to use last year’s ERA than last year’s W-L. As with basketball and baseball, so with epidemiology: as Joseph Delaney points out in my favorite blog that nobody reads, you will see much better prediction if you first model change in the parameter (e.g. blood pressure) and then convert that to the binary disease state (e.g. hypertension) then if you just develop a logistic model for prob(hypertension). As with basketball, baseball, and epidemiology, so with political science: instead of modeling election winners, better to model vote differential, a point that I made back in 1993 (see page 120 here ) but which seems to continually need repeating . A forecasting method should get essentially no credit for correctl
5 0.15456711 1990 andrew gelman stats-2013-08-20-Job opening at an organization that promotes reproducible research!
Introduction: I was told about an organization called Reproducibility Initiative. They tell me they are trying to make what was described in our “50 shades of gray” post standard across all of science, particularly areas like cancer research. I don’t know anything else about them, but that sounds like a good start! Here’s the ad: Data Scientist: Science Exchange, Palo Alto, CA Science Exchange is an innovative start-up with a mission to improve the efficiency and quality of scientific research. This Data Science position is critical to our mission. Our ideal candidate has the ability to collect and normalize data from multiple sources. This information will be used to drive marketing and product decisions, as well as fuel many of the features of Science Exchange. Desired Skills & Experience Experience with text mining, entity extraction and natural language processing is essential Experience scripting with either Python or R Experience running complex statistical analyses on l
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Introduction: Jason Rosenfeld, who has the amazing title of “Manager of Basketball Analytics” at the Charlotte Bobcats, announces the following jobs : Basketball Operations: Statistics Basketball Operations Systems Developer – Charlotte Bobcats (Charlotte, NC) POSITION OVERVIEW The Basketball Operations System Developer will collect and import data to our database, check data, and field requests from the Basketball Operations staff. This position will be instrumental in molding and improving our database to assist the staff in player personnel and coaching efforts. ESSENTIAL DUTIES AND RESPONSIBILITIES • Respond to data and database requests from the front office. • Build user-friendly software tools for use by the basketball operations staff. • Accumulate data from various sources to input and organize into our system to assist the basketball operations staff with decisions. • Check and clean data for accuracy and import to our database. • Provide ideas and play a key ro
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Introduction: David Shor sends along a job announcement for Civis Analytics, which he describes as “basically Obama’s Analytics team reconstituted as a company”: Data Scientist Position Overview Data Scientists are responsible for providing the fundamental data science that powers our work – including predictive analytics, data mining, experimental design and ad-hoc statistical analysis. As a Data Scientist, you will join our Chicago-based data science team, working closely and collaboratively with analysts and engineers to identify, quantify and solve big, meaningful problems. Data Scientists will have the opportunity to dive deeply into big problems and work in a variety of areas. Civis Analytics has opportunities for applicants who are seasoned professionals, brilliant new comers, and anywhere in between. Qualifications · Master’s degree in statistics, machine learning, computer science with heavy quant focus, a related subject, or a Bachelor’s degree and significant work ex
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Introduction: I was told about an organization called Reproducibility Initiative. They tell me they are trying to make what was described in our “50 shades of gray” post standard across all of science, particularly areas like cancer research. I don’t know anything else about them, but that sounds like a good start! Here’s the ad: Data Scientist: Science Exchange, Palo Alto, CA Science Exchange is an innovative start-up with a mission to improve the efficiency and quality of scientific research. This Data Science position is critical to our mission. Our ideal candidate has the ability to collect and normalize data from multiple sources. This information will be used to drive marketing and product decisions, as well as fuel many of the features of Science Exchange. Desired Skills & Experience Experience with text mining, entity extraction and natural language processing is essential Experience scripting with either Python or R Experience running complex statistical analyses on l
4 0.70823163 1909 andrew gelman stats-2013-06-21-Job openings at conservative political analytics firm!
Introduction: After posting that announcement about Civis Analytics, I wrote, “If a reconstituted Romney Analytics team is hiring, let me know and I’ll post that ad too.” Adam Schaeffer obliged : Not sure about Romney’s team, but Evolving Strategies is looking for sharp folks who lean right: Evolving Strategies is a political communications research firm specializing in randomized controlled experiments in the “lab” and in the “field.” ES is bringing a scientific revolution to free-market/conservative politics. We are looking for people who are obsessive about getting things right and creative in their work. A ideal candidate will have a deep understanding of the academic literature in their field, highly developed skills, a commitment to academic rigor, but an intuitive understanding of practical political concerns and objectives as well. We’re looking for new talent to help with our fast-growing portfolio in these areas: High-level data processing, statistical analysis and modelin
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Introduction: This is somebody’s dream job, I’m sure . . . ESPN is looking for a statistician to join the HR department as a Research Analyst . The job will consist of analytical research and producing statistics about the people that work at ESPN. Topics of interest will include productivity, efficiency, and retention of employees, among other items. In addition to data mining and producing reports, we also field surveys and analyze results. The position is located at the headquarters in Bristol, Connecticut, the same campus where nearly all ESPN shows are produced. ESPN is a Disney company, so discounts and free admission to Disney parks are available for employees. Flexible work arrangements are available, along with working in the New York City office part-time if desired. The role is a relatively new function and will have a high impact very quickly on helping the business function. Statistical software, text books, and any other resource needed to get the job done will be provided. T
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Introduction: Jason Rosenfeld, who has the amazing title of “Manager of Basketball Analytics” at the Charlotte Bobcats, announces the following jobs : Basketball Operations: Statistics Basketball Operations Systems Developer – Charlotte Bobcats (Charlotte, NC) POSITION OVERVIEW The Basketball Operations System Developer will collect and import data to our database, check data, and field requests from the Basketball Operations staff. This position will be instrumental in molding and improving our database to assist the staff in player personnel and coaching efforts. ESSENTIAL DUTIES AND RESPONSIBILITIES • Respond to data and database requests from the front office. • Build user-friendly software tools for use by the basketball operations staff. • Accumulate data from various sources to input and organize into our system to assist the basketball operations staff with decisions. • Check and clean data for accuracy and import to our database. • Provide ideas and play a key ro
2 0.8616364 1890 andrew gelman stats-2013-06-09-Frontiers of Science update
Introduction: This is just a local Columbia thing, so I’m posting Sunday night when nobody will read it . . . Samantha Cooney reports in the Spectator (Columbia’s student newspaper): Frontiers of Science may be in for an overhaul. After a year reviewing the course, the Educational Policy and Planning Committee has issued a report detailing its findings and outlining potential ways to make the oft-maligned course more effective. The EPPC’s report, a copy of which was obtained by Spectator, suggests eliminating the lecture portion of the course in favor of small seminars with a standardized curriculum, mirroring other courses in the Core Curriculum. This seems reasonable to me. It sounds like the seminar portion of the class has been much more successful than the lectures. Once the lectures are removed entirely, perhaps it will allow the students to focus on learning during the seminar periods. Also, I appreciate that Cooney did a good job quoting me. As I wrote last month , I respe
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Introduction: Commenters here are occasionally bothered that I spend so much time attacking frauds and plagiarists. See, for example, here and here . Why go on and on about these losers, given that there are more important problems in the world such as war, pestilence, hunger, and graphs where the y-axis doesn’t go all the way down to zero? Part of the story is that I do research for a living so I resent people who devalue research through misattribution or fraud, in the same way that rich people don’t like counterfeiters. What really bugs me, though, is when cheaters get caught and still don’t admit it. People like Hauser, Wegman, Fischer, and Weick get under my skin because they have the chutzpah to just deny deny deny. The grainy time-stamped videotape with their hand in the cookie jar is right there, and they’ll still talk around the problem. Makes me want to scream. This happens all the time . All. Over. The. Place. Everybody makes mistakes, and just about everybody does thing
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Introduction: I was curious so I ordered a used copy. It was pretty good. It fit in my pocket and I read it on the plane. It was written in a bland, spare manner, not worth reading for any direct insights it would give into human nature, but the plot moved along. And the background material was interesting in the window it gave into the society of the 1950s. It was fun to read a book of pulp fiction that didn’t have any dead bodies in it. I wonder what Jenny Davidson would think of it.
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Introduction: Here’s the story of the graph, which was “was shown as part of a training for FBI agents,” and here’s the more recent long form of my presentation.
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