Senior Data Scientist - AI/ML & Generative Models (Remote)

American-Arbitration-Association; New York (NY); Hybrid; USD 157,000 - 166,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Student loan repayment

403(b) retirement plan

Pet insurance discount

Generous paid time off

Job summary

The American Arbitration Association (AAA) is seeking a Data Scientist to partner with engineering, analytics and business teams to build intelligent data products and predictive models. You will work on structured and unstructured data, leveraging ML and Generative AI to deliver actionable insights that influence decisions.

Ideal candidates bring strong stats, ML, AI experience including LLMs, and can translate complex findings into practical business solutions in a hybrid/remote US-based role.

Qualifications

• 7+ years of experience manipulating data sets and building statistical models.
• Experience with predictive modeling, ML, statistical analysis, and pattern recognition.
• Proficient in programming languages such as Python, R, SQL, Java, JavaScript, C, or C++.
• Experience designing and implementing AI and Generative AI solutions, incl. LLM-based apps and NLP models.

Responsibilities

• Develop intelligent data products and predictive models to drive business insights.
• Analyze structured and unstructured data to uncover actionable recommendations.
• Deliver insights to support organizational decision-making and strategy.

Skills

Predictive modeling

Machine learning

Statistical analysis

Python

R

SQL

Java

NLP models

Tableau

Communication

Education

Master’s, PhD, or Bachelor’s in Statistics/Math/CS

Tools

Tableau

Python

SQL

R

Java

C++

NLP frameworks

Job description

The American Arbitration Association (AAA) is seeking a Data Scientist to partner with engineering, analytics and business teams to build intelligent data products and predictive models. You will work on structured and unstructured data, leveraging ML and Generative AI to deliver actionable insights that influence decisions.

Ideal candidates bring strong stats, ML, AI experience including LLMs, and can translate complex findings into practical business solutions in a hybrid/remote US-based role.