Senior Data Scientist — ML & Big Data Analytics

Grvty; San Antonio (TX); Híbrido; USD 114.000 - 144.000; Jornada completa

Descripción de la vacante

GRVTY seeks an experienced Data Scientist to manage a Big Data Platform, develop prototype and refined algorithms, and support data visualization and analytics. Candidates should have deep expertise in ML, data science, and software engineering across multiple domains.

The role emphasizes end-to-end data science, strong mathematical foundations, and the ability to design scalable analytics workflows within a regulated environment.

Formación

• Active TS/SCI with polygraph clearance.
• Doctorate degree and 6 years of relevant experience.
• Master's degree and 8 years of relevant experience.
• Bachelor’s degree and 10 years relevant experience.
• Associate’s degree plus 12 years’ experience may be considered for in-depth experience that is clearly related to the position.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
• A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science.

Conocimientos

Machine learning

Data science

Programming

Data mining

Statistics

Artificial intelligence

Workflow reproducibility

Data management

Data modeling

Software engineering

Educación

Doctorate (PhD)

Master's degree

Bachelor's degree

Associate's degree

Descripción del empleo

GRVTY seeks an experienced Data Scientist to manage a Big Data Platform, develop prototype and refined algorithms, and support data visualization and analytics. Candidates should have deep expertise in ML, data science, and software engineering across multiple domains.

The role emphasizes end-to-end data science, strong mathematical foundations, and the ability to design scalable analytics workflows within a regulated environment.