GDIT’s Early Career Program is designed with you in mind! Our new graduate opportunities are intended for recent college graduates with 0-1 year of professional work experience. At GDIT, every day, we influence how the government serves the country and its citizens. Starting your career with GDIT, allows you the opportunity to be a part of critical missions that don’t just shape the world, but the individual. GDIT is seeking a Database Analyst Associate (New Grad) in Bossier City, LaProfileThis individual will work actively with the GDIT TSS team to support our customer missions to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better services. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our services. The ideal data scientist applicant is someone who strives to make value out of data, by gathering information from various sources, analyzing it for better mission understanding, and builds data models/tools/automation that improves mission processes or provides critical insights/awareness.Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniques
Enhancing data collection procedures to include information that is relevant for building analytic systems.
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Supporting the assessment of data architecture principles and standards with regard to Application and Infrastructure architecture standards
Helping to assess the impacts, trade-offs, risks, costs, benefits and opportunities of solutions
Develop and validate systems architectural blueprint and design for quality, performance, security, user experience, maintenance, operations, redundancy, compliance, data flows, life cycling, dependencies and integration.
Perform systems data design work that may include logic design, data model formulation, development of data architecture analysis and design, and data systems engineering tasks.
Knowledge of data architecture principles, methods, and techniques. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Good applied statistics skills, such as distributions, statistical testing, and regression
Experience with common data science toolkits, such as R, Weka, NumPy, or MatLab and proficiency in using query languages such as Python, SQL, Hive, Pig, or Tensor Flow
Experience with BI concepts (i.e metadata and master data management, data standardization, data pipeline, and integration of data silos) and data warehousing methodologies (i.e dimension models, data marts, and normalized repositories)
Must be able to work independently on complex tasks which require analysis and action.
Possess strong interpersonal skills, relationship management and negotiation skills, strong verbal and written communication skills.
Must be a US Citizen or a Legal Permanent Resident
BA/BS, 0+ years experience, Graduating seniors or graduate students with a bachelors in Computer Science and concentration in Data Science/Machine Learning/Artificial Intelligence or related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.