Data Analyst

ASRC Federal; Moorestown Township (NJ); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health care

401(k)

Education assistance

Job summary

ASRC Federal is seeking a Data Analyst in Moorestown, NJ to develop, analyze, and model data for improved decisions and competitive advantage. You will work with AI/ML solutions and leading data pipelines, collaborating with cross-functional teams in a mission-focused environment.

The role requires a Bachelor's degree plus 2-4 years of experience, U.S. citizenship, and the ability to obtain necessary security clearances.

Qualifications

• Bachelor's degree and 2-4 years of experience or equivalent.
• Ability to obtain and maintain a government clearance; U.S. Citizenship required.
• Must obtain required security clearance within contract timeframe.
• Advanced understanding of standards, principles, theories and technical concepts.
• Practical knowledge of project management.
• Ability to communicate with internal and external stakeholders.

Responsibilities

• Develops, inspects, mines, transforms, and models data to raise productivity and decision making.
• Conducts quantitative and qualitative analysis to generate insights for forecasting or classification.
• Manages end-to-end data processing with customized reporting functions.
• Maintains analytical systems and ensures data accuracy; liaises with business teams.
• Implements emerging AI/ML solutions to support defense-related tasks.

Skills

Data Analysis

Machine Learning

LLM prompting

Transformer models

Project management

Communication

Education

Bachelor's degree

Tools

PyTorch

TensorFlow

Python

Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are currently seeking a Data Analyst to join our team in Moorestown, NJ.

Responsibilities

• Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
• Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
• Manages all aspects of end-to-end data processing utilizing customized report building functions of systems
• Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business
• Implementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasks
• Evaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual data
• Preparing and cleaning training and evaluation data sets for use with neural networks
• Training deep neural networks including MLPs, CNNs, Transformers, and others as required
• Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models

Basic Qualifications

• Bachelor's degree and 2-4 years of experience or equivalent
• This position requires the ability to obtain and maintain a government clearance, U.S. Citizenship is required
• This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s)
• Requires advanced understanding and ability to apply standards, principles, theories, and technical concepts obtained through advanced education combined with experience
• Has practical knowledge of project management
• Works to achieve operational targets with significant impact on departmental results
• Requires being responsible for managing entire technical projects within job area
• Requires being responsible for developing technical solutions that may require collaboration with internal expertise and deep analysis of the technical system
• Requires efficient communication with parties within and outside of own job function
• Requires being responsible for communicating with parties external to ASRC Federal (e.g., customers, vendors, etc)
• Requires the ability to write and implement company policies pertaining to relevant technology
• Responsible for running small technical teams while providing guidance, coaching and training to employees within job area
• Lead projects, requiring the delegation of work and the review of others' work product
• Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or TensorFlow)
• Experience with LLM prompting and Transformer architecture

Preferred Qualifications

• Hands-on experience with PyTorch and related Python libraries
• Experience with unsupervised learning including clustering algorithms and manifold learning
• Strong writing and presentation skills are preferred

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.

EEO Statement

ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.