Top 41 Sports data analytics Jobs in Pennsylvania

Data Scientist - Research and Development
Pittsburgh Pirates —Pittsburgh, PA
- Computer Science
- Mid-level
- US work authorization
Compliance Insights Analyst - Corporate Compliance
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- Mid-level
- Office
Analyst - Strategy - Marketing and eCommerce
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- Mid-level
- Office
Store Capacity Analyst
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- Mid-level
- Office
Business Analyst - Clearance Optimization
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- Merchandising
- Mid-level
Analyst - Omni Strategy
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- 5 years
- Mid-level
9d
Retail Business Systems Analyst - Planning, Allocations & Replenishment
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- Merchandising
- Mid-level
Sr. Financial Analyst - Supply Chain
Foot Locker —Camp Hill, PA
- $72,000 - $78,000 a year
- Full-time
- Hybrid work
- Writing skills
- Office
- Finance
- Health insurance
- Dental insurance
Senior Analyst-Omni Fulfillment
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- 5 years
- Office
Assistant Strength and Conditioning Coach
University of Pennsylvania —Philadelphia, PA
- $49,858 - $60,100 a year
- Weekends as needed
- Background check
- Data analysis skills
- Mid-level
- Health insurance
- Dental insurance
10d
Compliance and Accounting Manager, Playfly Max
Playﬂy Sports —Philadelphia, PA
- Hybrid work
- Microsoft Excel
- Mid-level
- Office
10d
Sr. Analyst, Growth & Innovation
Playﬂy Sports —Berwyn, PA
- Mid-level
- Office
- 3 years
Assistant General Counsel
Playﬂy Sports —Berwyn, PA
- 7 years
- High school
- Travel
Accounts Receivable Specialist
Playﬂy Sports —Berwyn, PA
- Research
- Mid-level
- Office
10d
Loyalty Specialist
DICK'S Sporting Goods —Pittsburgh, PA
- Part-time
- Background check
- Marketing
- Mid-level
Director, Logistics Projects Americas
Amer Sports —Pittston, PA
- Email
- Spanish
- 8 years
- Bachelor's degree
- Commuter assistance
- Paid holidays
Associate Director of Development, Major Gifts-Athletics
University of Pennsylvania —Philadelphia, PA
- $77,330.00 - $98,340.22 a year
- Full-time
- Background check
- Bachelor of Science
- 3 years
- Health insurance
- Dental insurance
Category Sourcing Manager - Tech & eCommerce
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- Office
- Finance
Director of Legal Strategy and Operations
DICK'S Sporting Goods —Coraopolis, PA
- Full-time
- Background check
- 7 years
- Analysis skills
Senior Events Coordinator, Head Professional - St. Luke's SportsPlex
St. Luke's University Health Network —Allentown, PA
- Full-time
- High school
- Customer service
- Computer literacy
8d

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Data Scientist - Research and Development

Pittsburgh Pirates -
Pittsburgh, PA

Apply Now

Job Details

Qualifications

Quantitative applied research
Machine intelligence
Software development
Data analysis software

Full Job Description

The Pirates Why

The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:

purposefully developing a player and people-centered culture;
deeply connecting with our fans, partners, and colleagues;
passionately creating lifetime memories for generations of families and friends; and
meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.

Job Summary

As a Data Scientist on the Pirates Research & Development team, you will help transform a wealth of baseball data — from box scores and player tracking to video and biomechanics — into actionable insights that drive the Pirates to make better, faster acquisition, development, and deployment decisions. You will work closely with other data scientists, analysts, and software engineers across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.

Responsibilities:

Design, build, validate, and deploy statistical and/or machine-learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making.

Build tools, prototypes, and visualizations to translate complex data and model results into insights understandable by coaches, players, and decision-makers.

Communicate results and insights clearly to both technical and non-technical audiences.

Partner with data engineers to build scalable data pipelines and maintain data quality.

Stay abreast of new data sources, analytical techniques, and research.

Help the organization experiment, learn, and iterate.

Qualifications

We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement.

Required:

Degree (or equivalent experience) in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research).

Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems.

Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling.

Demonstrated ability to communicate complex quantitative concepts clearly, both written and verbally.

Demonstrated experience collaborating with others on data science projects.

Authorized to work lawfully in the United States.

Desired:

Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming).

Experience with machine-learning / deep-learning frameworks (e.g., PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal, or biomechanical data.

Background in computer vision, biomechanics, sports-science, or modeling of dynamic physical systems.

Prior experience in sports analytics context; baseball is a plus.

Experience with database languages (e.g., SQL) and working with large / relational datasets.

Equal Opportunity Employer

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

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

Apply Now

Refine Your Search

sports data analytics jobs in pennsylvania

Data Scientist - Research and Development

Compliance Insights Analyst - Corporate Compliance

Analyst - Strategy - Marketing and eCommerce

Store Capacity Analyst

Business Analyst - Clearance Optimization

Analyst - Omni Strategy

Retail Business Systems Analyst - Planning, Allocations & Replenishment

Sr. Financial Analyst - Supply Chain

Senior Analyst-Omni Fulfillment

Assistant Strength and Conditioning Coach

Compliance and Accounting Manager, Playfly Max

Sr. Analyst, Growth & Innovation

Assistant General Counsel

Accounts Receivable Specialist

Loyalty Specialist

Director, Logistics Projects Americas

Associate Director of Development, Major Gifts-Athletics

Category Sourcing Manager - Tech & eCommerce

Director of Legal Strategy and Operations

Senior Events Coordinator, Head Professional - St. Luke's SportsPlex

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