Senior Data Analyst

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 Senior Data Analyst to join our teamin 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 5-7 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.