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Remote Baseball Data Analyst Jobs in Kentucky (NOW HIRING)

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Analyst, Accounts Receivable

Louisville, KY · On-site +1

$64K - $66K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data and transactions. You will monitor and reconcile franchisee and customer account activity ... This role is fully remote. Salary Range: $64,900 - $66,000 + bonus eligibility. This is the ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Showing results 21-40

Remote Baseball Data Analyst information

What is a remote baseball data analyst?

A Remote Baseball Data Analyst analyzes baseball-related data to provide insights that help teams, organizations, or media make informed decisions. They work with statistics, scouting reports, and performance metrics using tools like SQL, R, Python, or specialized baseball databases. Since the role is remote, communication with coaches, scouts, or front-office staff is typically done via email, video calls, or reports. Responsibilities may include player evaluation, statistical modeling, game strategy analysis, or predictive analytics. This role requires a strong background in data analysis, baseball knowledge, and the ability to interpret complex data effectively.

What are the typical day-to-day responsibilities of a remote baseball data analyst?

As a Remote Baseball Data Analyst, your daily tasks often include collecting, cleaning, and analyzing large datasets related to player statistics, game outcomes, and scouting reports. You’ll build and maintain data models, generate reports, and create visualizations to communicate insights to coaches, scouts, and management. Additionally, you may participate in virtual team meetings and collaborate with other analysts or technical staff to support decision-making processes. Strong communication and time management skills are key to coordinating effectively across a dispersed team and meeting project deadlines.

What are the key skills and qualifications needed to thrive in the remote baseball data analyst position, and why are they important?

To excel as a Remote Baseball Data Analyst, you need strong analytical skills, statistical knowledge, and a background in mathematics or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, database management systems, and advanced data visualization tools is highly valuable. Excellent attention to detail, communication abilities, and self-motivation are important soft skills for remote collaboration and reporting. These skills ensure accurate data analysis, effective insights, and successful teamwork in a virtual environment.

What are the most commonly searched types of Baseball Data Analyst jobs in Kentucky?

The most popular types of Baseball Data Analyst jobs in Kentucky are:

What are popular job titles related to Remote Baseball Data Analyst jobs in Kentucky?

For Remote Baseball Data Analyst jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Remote Baseball Data Analyst jobs?

Cities in Kentucky with the most Remote Baseball Data Analyst job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Louisville, KY • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.