About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Spectator Sports.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking a Data Scientist focused on baseball analytics to build models and tools that improve player acquisition, development, and deployment decisions. You will translate rigorous research into reliable, production-ready products used by technical and non-technical stakeholders.

• Clean, organize, and validate data from source systems.
• Build, improve, and maintain predictive and analytical models using R or Python.
• Write clean, efficient, and well-documented code; design tests and validation to ensure reliability.
• Partner with development teams to automate data pipelines and operationalize models.
• Present findings clearly to technical and non-technical audiences; document methods and assumptions.
• Gather end-user feedback to iterate on products and modeling needs.
• Evaluate, recommend, and integrate new data sources.
• Use modern AI-assisted tools and agentic workflows to improve productivity while verifying outputs and applying sound analytical judgment.

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Who You Are / Qualifications

Required

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field (or equivalent experience).
• 1+ years of professional experience in data science or a closely related role.
• Proficiency with R or Python for data analysis and modeling.
• Experience with statistical analysis, data mining, and handling large datasets.
• Experience building or maintaining data pipelines or working with engineers to automate workflows.
• Strong communication and presentation skills; comfortable explaining technical work to leadership and cross-functional partners.
• Deep passion for baseball and baseball analytics.

Desired

• Proficiency with SQL and experience querying relational databases.
• Experience with machine learning, Bayesian methods, and probabilistic programming (e.g., Stan, PyMC).
• Experience deploying models or contributing to production data tooling.

Employment details

• Employment type: Full-time, Exempt.
• This role values curiosity, humility, integrity, and a competitive drive for continuous improvement.

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Compensation & Benefits

• Anticipated base salary: $90,000 annually (dependent on experience).
• Competitive benefits package including (examples provided by Confidential Client):
  • Paid time off and paid holidays
  • Health, dental, and vision insurance
  • Retirement plan with employer match
  • Employee discounts and complimentary tickets/events
  • Professional development opportunities

(This salary information is provided in accordance with applicable transparency laws.)

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Location & Work Arrangement

• Work location: In-person in Baltimore, MD (Oriole Park at Camden Yards area). This role is not remote.
• Applicants should be located near Baltimore or willing to relocate.

Additional screening questions (examples the client may ask)

• Are you located near Baltimore, MD? If not, are you willing to relocate?
• Are you legally authorized to work in the U.S.?
• Will you require employer sponsorship now or in the future?

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.