Principal Data Scientist: AI, ML Strategy & Insight Leader

Machine Learning Technologies, LLC; Vienna (VA); On-site; USD 150,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a senior data scientist to design, develop, and validate large predictive models and advanced algorithms. You will test hypotheses, analyze results, and translate findings into actionable recommendations for stakeholders.

The role requires transforming data into clear charts and narratives, communicating insights to cross-functional teams, and leading projects with senior management. A strong background in statistics and ML is essential.

Qualifications

• Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science or Engineering.
• Master's or PhD preferred in related disciplines.
• 6+ years of experience in data science, ML, data mining, and analytics.
• Experience with NLP, LLMs, and customer data analytics is a plus.

Responsibilities

• Design, develop, and evaluate large and complex predictive models and advanced algorithms.
• Test hypotheses/models, analyze, and interpret results to drive decisions.
• Develop actionable insights and recommendations for stakeholders.

Skills

Statistics and ML

Data mining

Data visualization

Programming

Data modeling

SQL

R

Python

Hadoop

SAS

SPSS

Scala

AWS

Technical writing

Data storytelling

Research skills

Interpersonal skills

Communication

Critical thinking

Collaboration

Initiative

Problem solving

Education

Bachelor's Degree in Data Science/Statistics/Mathematics/CS/Engineering

Master's or PhD in Data Science/Statistics/Mathematics/Engineering

Tools

SQL

R

Python

Hadoop

SAS

SPSS

Scala

AWS

Job description

Machine Learning Technologies, LLC is seeking a senior data scientist to design, develop, and validate large predictive models and advanced algorithms. You will test hypotheses, analyze results, and translate findings into actionable recommendations for stakeholders.

The role requires transforming data into clear charts and narratives, communicating insights to cross-functional teams, and leading projects with senior management. A strong background in statistics and ML is essential.