Data Scientist III

CyberTrend Engineering LLC; Maryland; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

PTO benefits

Paid holidays

Full medical coverage

SEP-IRA matching

Education assistance

Training assistance

Job summary

CyberTrend Engineering LLC is seeking a data analytics professional to develop machine learning, data mining, statistical, and graph-based methods that interpret complex datasets and automate analytics for analyst workflows. The role is based onsite in Annapolis Junction, MD, with responsibilities including model prototyping, evaluation, and producing data-driven insights for customers.

The position requires a strong background in quantitative disciplines and TS/SCI with Poly clearance, enabling

Qualifications

• Bachelor's degree or higher in a quantitative discipline.
• 10+ years in two or more areas: ML, data mining, advanced analytics, AI, or software with data analysis tools.
• Master's or Doctoral degrees may substitute for experience.
• Requires TS/SCI with Poly Clearance.

Responsibilities

• Develop ML, data mining, statistical, and graph-based algorithms to analyze datasets.
• Prototype or evaluate multiple algorithms and select a final model based on performance.
• Create reports and visualizations summarizing datasets for customers.
• Implement prototype algorithms within production frameworks to support analyst workflows.

Skills

Machine learning

Data mining

Statistical analysis

Graph-based analytics

Education

Bachelor's degree in a quantitative discipline

Master's degree substituted for two years of experience

Doctoral degree substituted for four years of experience

Tools

R

Python

SAS

MATLAB

Job description

This role supports customer analytics by developing machine learning, data mining, statistical, and graph-based methods that help interpret complex datasets. You will prototype and select models, turn analysis into automated analytics, and contribute to production-ready implementations for analyst workflows.

Location

• Annapolis Junction, MD (onsite)

Responsibilities

• Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of datasets
• Prototype or evaluate multiple algorithms and select a final model based on appropriate performance metrics
• Build models or design experiments to generate training data when training or example datasets are unavailable
• Create reports and visualizations that summarize datasets and deliver data-driven insights to customers
• Work with subject matter experts to convert manual data analysis into automated analytics
• Implement prototype algorithms within production frameworks to support integration into analyst workflows

Required Qualifications

• Bachelor's degree or higher from an accredited college or university in a quantitative discipline (examples include statistics, mathematics, operations research, engineering, or computer science)
• Minimum of ten (10) years of experience in two (2) or more areas: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB
• Additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics may be substituted for the Bachelor's degree
• A Master's degree in a quantitative discipline can be substituted for two (2) years of experience, for a total of eight (8) years required
• A Doctoral degree in a quantitative discipline can be substituted for four (4) years of experience, for a total of six (6) years required
• Requires TS/SCI with Poly Clearance

Technologies

• R
• Python
• SAS
• MATLAB
• Cloud development

Required Skills and Focus Areas

• Support and contribute to increasing complexity in the customer’s data analytics ingestion
• Analyze new and existing datasets and provide actionable insights
• Help customers implement and optimize analytic suites based on those insights
• Support expansion of analytic capabilities using AI/ML alongside graph-based technologies and frameworks

Benefits

• Generous and competitive paid time off, scaled based on time in service, plus eleven paid annual holidays
• Coverage of 100% of the cost for medical (base plan), dental, vision, disability, life, EAP, and more
• 10% contribution of your monthly gross salary to a SEP-IRA account
• Educational assistance up to $5,250 annually for work-related activities upon prior approval
• Training assistance up to $3,000 annually for work-related activities upon prior approval