Data Scientist

Strive Solutions; Washington Grove (MD); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Strive Solutions is seeking a data science professional to build data-driven solutions across national security, health, and engineering missions. You will design and deploy machine learning models and perform advanced statistical analyses to translate complex data into actionable insights for government and commercial stakeholders.

Collaborate with cross-functional teams on digital modernization, cyber, and analytics initiatives while maintaining strict adherence to security, privacy, and

Competenze

• Strong background in machine learning and statistical methods.
• Ability to analyze data and communicate insights clearly.
• Experience working in cross-functional teams.
• Commitment to responsible handling of sensitive data and ethics.

Mansioni

• Build, validate, and deploy machine learning models
• Perform advanced statistical analysis and data interpretation
• Transform complex datasets into clear, actionable insights
• Collaborate with cross-functional teams on digital modernization, cyber, and analytics initiatives
• Maintain strict adherence to security, privacy, and ethical standards

Conoscenze

ML models

Statistical methods

Data interpretation

Cross-functional work

Ethical data handling

Descrizione del lavoro

to develop data-driven solutions across national security, health, and engineering missions. Design and implement machine learning models and conduct advanced statistical analyses to convert complex data into actionable insights for government and commercial stakeholders.

Key Responsibilities

• Build, validate, and deploy machine learning models
• Perform advanced statistical analysis and data interpretation
• Transform complex datasets into clear, actionable insights
• Collaborate with cross-functional teams on digital modernization, cyber, and analytics initiatives
• Maintain strict adherence to security, privacy, and ethical standards

Qualifications & Skills

• Strong background in machine learning and statistical methods
• Proficiency in data analysis, modeling, and insight communication
• Ability to work effectively in collaborative, cross-functional environments
• Commitment to responsible handling of sensitive data and ethical practices