Data Scientist Fellow, Baseball Analytics

Baltimore Orioles

Baltimore (MD)

On-site

USD 25,000 - 33,000

Part time

3 days ago
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Benefits offered by this job

Discounts
Promotional giveaways
Free parking
Game tickets

Job summary

Baltimore Orioles in Baltimore, MD is seeking a Data Scientist Fellow to create and analyze baseball datasets, building interpretable predictive models and player valuation tools to support Baseball Operations decisions.

This in-person, part-time, seasonal hourly role involves identifying data quality issues, designing models in R or Python, querying SQL databases, and delivering ad-hoc analyses while partnering with end users.

Qualifications

  • Understanding of statistics and statistical models.
  • Strong written and oral communication and presentation skills.
  • Excellent interpersonal skills and the ability to work well with staff members of all levels.

Responsibilities

  • Identify and resolve data quality issues.
  • Design, analyze, test and implement interpretable predictive models using R or Python.
  • Execute SQL queries to filter and prepare data.
  • Evaluate and integrate new data sources.
  • Produce ad-hoc reports or small studies as needed.

Skills

Statistics knowledge
Communication skills
Interpersonal skills

Education

Bachelor's degree in Statistics/Analytics/Math/CS

Tools

SQL
R
Python

Job description

Job Title: Data Scientist Fellow

Department: Baseball Analytics

Job Type: Part-time, Seasonal/Hourly

Job Summary

This position is responsible for creating and analyzing baseball datasets through the use of advanced statistical techniques, with the goal of building and maintaining interpretable predictive models and player valuation frameworks to aid in the decision-making of Baseball Operations executives.

Primary Responsibilities

Primary duties to include, but not limited to, the following:

  • Identify, diagnose and resolve data quality issues.
  • Work with end users to understand modeling needs.
  • Design, analyze, test and implement interpretable predictive models using R or Python.
  • Work with users and developers to create usable tools for the customers.
  • Evaluate, recommend and integrate new data sources (internal and 3rd party external data sources).
  • Complete ad-hoc reports or small studies as assigned throughout the year.
  • Execute SQL database queries to filter, clean and prepare data from existing database.
Qualifications***Required:

Deep passion for baseball and baseball analytics.

  • Understanding of statistics and statistical models.
  • Strong written and oral communication and presentation skills.
  • Excellent interpersonal skills and the ability to work well with staff members of all levels.
Desired

* Currently enrolled in or completed bachelor's Degree in Statistics, Analytics, Operations Research, Mathematics, Computer Science, or equivalent.

  • Experience with SQL.
  • Experience with R or Python and pragmatic mathematical modeling.
  • Experience with statistical analyses, data mining techniques, and working with large datasets.
Disclaimer

The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The duties listed do not represent an exhaustive list of all responsibilities, duties, and skills required of a person in this position.

Equal Opportunity Statement

The Baltimore Orioles are an Equal Opportunity Employer. It is the policy of the Baltimore Orioles to ensure equal employment opportunity without discrimination or harassment on the basis of race (including hair textures, afro hairstyles, or protective hairstyles), color, national origin or ancestry, religion or creed, gender or sex (including pregnancy), age, disability, citizenship status, marital status, veteran’s status, genetic predisposition or carrier status, gender identity, sexual orientation, or any other characteristic protected by law.

The anticipated hourly rate for this role is $20/hour.

Benefits include concession and merchandise discounts, Orioles promotional giveaways, free parking, and limited complimentary baseball tickets to home games.

This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.

Job Questions

* This position is in-person. Are you located near Baltimore, MD? If not, will you relocate?

  • Are you legally authorized to work in the U.S.?
  • Do you currently, or will you in the future, require an employer to sponsor you for work authorization in the United States (for example, an H 1B, E 3, or TN visa)?
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