Top 13 Data and visualization associate Jobs in Chester Pa

Quantitative Analyst Associate (2027)
Philadelphia Phillies - Baseball Operations —Philadelphia, PA
- Part-time
- Bachelor of Science
- Bachelor's degree
- Doctor of Philosophy
13d
Data and Visualization Associate
PMHCC Inc. —Philadelphia, PA
- $63,548 - $81,701 a year
- Full-time
- Writing skills
- Mid-level
- Presentation skills
Quick Apply
Data & Evaluation Associate
PMHCC Inc. —Philadelphia, PA
- $75,000 - $85,000 a year
- Full-time
- Management
- Writing skills
- Mid-level
Quick Apply
Associate Business Analyst
ConcertAI —Plymouth Meeting, PA
- Bachelor of Science
- Mid-level
- SQL
Quick Apply
Senior Associate, Data Analytics
Sallie Mae —Newark, DE
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Wellness program
- Paid parental leave
9d
HR BI Developer Associate
JPMorganChase —Wilmington, DE
- Full-time
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Tuition reimbursement
9d
Analytics Solutions Senior Associate
JPMorganChase —Wilmington, DE
- Full-time
- Computer Science
- Mid-level
- Office
3d
Data and Visualization Associate
PMHCC, INC. —Philadelphia, PA
- $63,548 - $81,701 a year
- Full-time
- Writing skills
- Mid-level
- Office
- Health savings account
- Health insurance
Quick Apply
HR BI Developer Senior Associate
JPMorganChase —Wilmington, DE
- Full-time
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Tuition reimbursement
11d
Quant Analytics Senior Associate - Credit Card Installment
JPMorganChase —Wilmington, DE
- $109,250 - $165,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Health insurance
- Tuition reimbursement
3d
Sr. Manager/ Associate Director, Statistical Programming
Avalo Therapeutics —Chesterbrook, PA
- 7 years
- Computer Science
- Master's degree
Quick Apply

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Quantitative Analyst Associate (2027)
Philadelphia Phillies - Baseball Operations —Philadelphia, PA
You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working…
13d
Data and Visualization Associate
PMHCC Inc. —Philadelphia, PA
Knowledge of statistics, especially statistical practices related to a social science or human services related field (epidemiology, political science,…
$63,548 - $81,701 a year
Quick Apply

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Associate Data Scientist
OCLC —Dublin, OH
Bachelor’s in a quantitative field (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science role or Master’s + 1+ year in a data science role.
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OCLC —Dublin, OH
Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
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Quantitative Analyst Associate (2027)

Philadelphia Phillies - Baseball Operations
Philadelphia, PA

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Job Details

Part-time | Seasonal
13 days ago

Qualifications

Database systems
Predictive modeling analysis
Ensemble learning
Supervised learning
Software development
Unsupervised learning
Teaching
Data analysis software

Full Job Description

Title: Quantitative Analyst Associate
Department: Baseball Research & Development
Reports to: Lead/Senior Quantitative Analyst
Status: Hourly Part-Time Seasonal

Position Overview:

As a Quantitative Analyst (QA) Associate, you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to Baseball Operations leadership and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:

Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
Provide input to database architecture to ensure efficient application of baseball data

Required Qualifications:

Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
Meaningful experience programming, using analytical software (Python, R, or similar), and interacting with databases
Proven willingness to both teach others and learn new techniques
Willingness to work as part of a team on complex projects
Proven leadership and self-direction

Preferred Qualifications:

Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
0-5+ years of relevant work experience
Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

To be considered, all candidates must submit a response for the prompt below:

In player evaluation, some metrics are highly predictive of future performance but provide limited information about why a player will succeed or fail. Other metrics may be less predictive on their own but can help identify specific strengths, weaknesses, or opportunities for improvement.

Assume you have access to several years of professional baseball data, including traditional statistics, pitch- or play-level tracking data, scouting evaluations, player demographics, injury history, and minor-league level and park context.

In 250 words or less, describe how you would determine which information should be included in a player projection model and which information should instead be used primarily to explain, diagnose, or contextualize the projection. Discuss how you would evaluate a metric that improves historical model accuracy but may not remain stable over time, may duplicate information contained in other variables, or may be difficult to obtain consistently for all players.

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.

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Refine Your Search

data and visualization associate jobs in chester pa

Quantitative Analyst Associate (2027)

Data and Visualization Associate

Data & Evaluation Associate

Associate Business Analyst

Senior Associate, Data Analytics

HR BI Developer Associate

Analytics Solutions Senior Associate

Data and Visualization Associate

HR BI Developer Senior Associate

Quant Analytics Senior Associate - Credit Card Installment

Sr. Manager/ Associate Director, Statistical Programming

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