Senior Data Scientist (TS/SCI) - ML & Big Data

GRVTY; Hawaii; In loco; USD 105.000 - 135.000; Tempo pieno

Vantaggi offerti da questo lavoro

Robust health plan including medical,

Health Savings Account with company"

Annual PTO & Paid Holidays

401k with company match

Training & Development Opportunities

Company Sponsored Events

Descrizione del lavoro

GRVTY is seeking experienced Data Scientists to perform tasks related to Big Data Platform management, develop prototype algorithms, and support data visualization and analytics. The role requires strong skills in machine learning, statistics, and software engineering across multiple domains.

Qualified candidates will hold an active TS/SCI clearance with polygraph and a math/CS degree with substantial experience. The company emphasizes competitive compensation and comprehensive benefits.

Competenze

• Active TS/SCI clearance with polygraph.
• Bachelor’s degree and 10 years’ relevant experience OR Associate’s degree plus 12 years’ experience.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.

Mansioni

• Design and implement machine learning and data science algorithms.
• Develop prototype algorithms and refine them through experimentation.
• Support data visualization and analytics.

Conoscenze

Machine learning

Data science

Statistics

Programming

Data mining

Data modeling

Reproducibility

Artificial intelligence

Workflow & data governance

Formazione

Bachelor's degree in Mathematics / Statistics / CS

10 years' relevant experience OR Associate’s +12 years

Descrizione del lavoro

GRVTY is seeking experienced Data Scientists to perform tasks related to Big Data Platform management, develop prototype algorithms, and support data visualization and analytics. The role requires strong skills in machine learning, statistics, and software engineering across multiple domains.

Qualified candidates will hold an active TS/SCI clearance with polygraph and a math/CS degree with substantial experience. The company emphasizes competitive compensation and comprehensive benefits.