Mission-Driven Data Scientist: Multicloud Analytics (TS/SCI)

Synertex LLC; Bethesda (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

Synertex LLC seeks a Data Scientist to support government and intelligence initiatives by transforming complex data into actionable insights. The role emphasizes clear communication of findings to influence mission outcomes in a fast-paced, detail-oriented environment.

Responsibilities include applying data science toolkits, analytics, statistical analysis, and multi-cloud data discovery, with proficiency in SQL, R, Python, and Julia. Position is on-site and contingent upon award.

Qualifications

• TS/SCI clearance with polygraph required, including additional security screenings
• Proficiency in data science toolkits and analytics
• Experience translating complex data into actionable insights
• Ability to operate within multi-cloud data environments
• Experience communicating findings to non-technical stakeholders
• Ability to manage unstructured data and produce clear technical writing

Responsibilities

• Apply in-depth knowledge of data science toolkits, data analytics, statistical analysis, and data discovery within multi-cloud environments.
• Demonstrate proficiency in SQL, R, Python, and Julia.
• Move data science projects from development into production.
• Understand customer needs and visualize data effectively for a given project or study.
• Perform analytical work with unstructured datasets.
• Produce technical writing that communicates complex data in simple, actionable ways.

Skills

SQL

Python

R

Julia

Data analytics

Statistical analysis

Data discovery

Multi-cloud

Education

HS/GED + 6 years experience

Associate's + 4 years experience

Bachelor's + 2 years experience

Master's degree

PhD + 2 years experience

Job description

Synertex LLC seeks a Data Scientist to support government and intelligence initiatives by transforming complex data into actionable insights. The role emphasizes clear communication of findings to influence mission outcomes in a fast-paced, detail-oriented environment.

Responsibilities include applying data science toolkits, analytics, statistical analysis, and multi-cloud data discovery, with proficiency in SQL, R, Python, and Julia. Position is on-site and contingent upon award.