Data Scientist

This position offers a hybrid or remote work arrangement; candidates must reside at a U.S. location within 125 miles of their assigned location.

About Us

The American Arbitration Association (AAA), recognized among The NonProfit Times' 50 Best Nonprofits to Work For, offers a dynamic, fast-paced environment where excellence meets opportunity. Our organization leads arbitration and mediation across diverse industries, providing professionals with unique exposure to multiple business sectors and conflict resolution practices. We foster growth through collaboration with experienced legal professionals and invest in our team through comprehensive professional development programs. At the AAA, we combine challenging work with meaningful recognition in an environment where merit drives success and learning never stops.

About the Role

The American Arbitration Association (AAA) is seeking a Data Scientist to serve as a strategic partner in leveraging data, machine learning, and Generative AI technologies to drive business insights and innovation across the organization. This role will work closely with engineering, analytics, and business teams to develop intelligent data products, build predictive models, analyze structured and unstructured data, and deliver actionable insights that support organizational decision-making. The ideal candidate brings deep experience in statistical analysis, machine learning, and AI technologies, including large language models (LLMs), along with the ability to translate complex findings into practical business solutions.

Responsibilities

• Manipulate data sets and build statistical models
• Develop predictive models and machine learning solutions
• Analyze structured and unstructured data
• Design and implement AI and Generative AI solutions, including LLM-based applications and NLP models
• Deliver actionable insights to support organizational decision-making
• Present complex technical findings to diverse audiences
• Maintain high standards for data quality, integrity, and confidentiality

Qualifications

• Master’s, PhD, or Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field required
• 7+ years of professional experience manipulating data sets and building statistical models, or an equivalent combination of education and experience
• Advanced experience with predictive modeling, machine learning, statistical analysis, and pattern recognition
• Strong proficiency in programming languages such as Python, R, SQL, Java, JavaScript, C, or C++
• Experience with data mining techniques including regression analysis, random forests, boosting, decision trees, text mining, and social network analysis
• Proficiency with Tableau or similar data visualization tools
• Strong written and verbal communication skills
• Demonstrated analytical thinking, attention to detail, collaboration, initiative, and problem-solving abilities
• Ability to manage multiple priorities

Pay

• Miami, FL; Charlotte, NC; San Antonio, TX: $125,000 - $133,000
• Dallas, TX; Fresno, CA; Buffalo, NY; Atlanta, GA: $133,000 - $140,000
• Houston, TX; Johnston, RI; Minneapolis, MN: $135,000 - $143,000
• Philadelphia, PA; Voorhees, NJ; Chicago, IL: $141,000 – $149,000
• Boston, MA; Los Angeles, CA; Central, NJ: $147,000 – $155,000
• New York, NY; San Francisco, CA: $157,000 – $166,000

This position is also eligible for an annual performance-based incentive. Compensation will be determined based on geographic location.

Benefits

• Medical, dental, orthodontia, and vision coverage
• Student loan repayment program
• 403(b) retirement plan with substantial company match
• Discounted pet insurance
• Generous paid time off