ZipRecruiter

Log In

2

Remote Mlb Data Analyst Jobs in Virginia (NOW HIRING)

Thriveworks

Senior Financial Analyst - Remote

Reston, VA · On-site +1

$89K - $111K/yr

Senior Financial Analyst - Remote About Thriveworks Thriveworks is one of the leading mental health ... Data & Reporting * Develop and maintain dashboards and reports (Power BI or similar) integrating ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

HEO

Space Systems Analyst

Arlington, VA · On-site +1

  • Medical

  • Retirement

  • PTO

Experience: 2-5+ years of professional experience in a data-centric engineering or analysis role, ideally supporting aerospace, remote sensing, defense, or intelligence applications. * Data & Tooling ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Alpha Omega Integration

Public Health Analyst

Vienna, VA · On-site +1

$57K - $60K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This is a remote role but proximity to the Atlanta area is desired. Some Key Responsibilities : * Conduct analysis and interpretation of data in SAS. * Enter definitions of variables for survey ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Analysts are tasked with utilizing a flexible and foundational toolset that will add value across ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

previous page

Showing results 41-60

All JobsMlb Data Analyst JobsRemote Mlb Data Analyst JobsRemote Mlb Data Analyst Jobs in Virginia

Remote Mlb Data Analyst information

What is a remote MLB data analyst?

A Remote MLB Data Analyst is a professional who analyzes baseball data for Major League Baseball (MLB) teams or related organizations while working remotely. Their responsibilities often include collecting, cleaning, and interpreting large datasets related to player performance, game strategy, and team statistics. They use statistical tools, programming languages such as Python or R, and data visualization software to provide insights that can help teams make informed decisions. This role requires strong analytical skills, knowledge of baseball, and the ability to communicate findings to coaches, managers, or front-office staff. Working remotely, they collaborate with teams and colleagues through digital communication platforms.

How does a remote MLB data analyst typically collaborate with on-site teams and other departments?

As a Remote MLB Data Analyst, you’ll frequently interact with coaches, scouts, and fellow analysts through virtual meetings, collaborative platforms, and shared databases. Regular communication is key to ensuring data-driven insights are effectively integrated into team strategies. Despite working remotely, you’ll still participate in group discussions, present findings, and coordinate with IT or software departments to streamline data workflows. Building strong digital communication skills and proactively seeking feedback helps bridge the distance and fosters a collaborative team environment.

What are the key skills and qualifications needed to thrive as a remote MLB data analyst, and why are they important?

To thrive as a Remote MLB Data Analyst, you need strong statistical analysis skills, proficiency in baseball analytics, and a background in mathematics, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau are typically required. Excellent communication, problem-solving abilities, and attention to detail help analysts interpret and present complex data effectively to stakeholders. These skills are crucial for generating actionable insights that can inform team decisions and drive competitive advantages in Major League Baseball.

What is the difference between Remote Mlb Data Analyst vs Remote Baseball Data Analyst?

AspectRemote Mlb Data AnalystRemote Baseball Data Analyst
CredentialsBachelor's in Sports Analytics, Data Science, or related field; knowledge of MLB statisticsBachelor's in Sports Analytics, Data Science, or related field; familiarity with baseball metrics
Work EnvironmentRemote, sports analytics companies, MLB teams, or sports mediaRemote, sports analytics companies, baseball organizations, or media outlets
Industry UsagePrimarily in Major League Baseball organizations and sports mediaIn baseball organizations, media, and sports analytics firms

The main difference between a Remote Mlb Data Analyst and a Remote Baseball Data Analyst lies in the specific focus on Major League Baseball in the former. Both roles require similar credentials and work environments, but the Remote Mlb Data Analyst is specifically tailored to MLB teams and organizations, whereas the Remote Baseball Data Analyst may include broader baseball-related roles across various leagues and media outlets.

What are popular job titles related to Remote Mlb Data Analyst jobs in Virginia?

For Remote Mlb Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Mlb Data Analyst jobs in Virginia look for?

The top searched job categories for Remote Mlb Data Analyst jobs in Virginia are:

Remote Mlb Data Analyst jobs near you

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 29 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Science Leader at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics

    • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply