Data Scientist with Security Clearance, Translucent Services, Annapolis Junction, MD


Translucent Services -
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Annapolis Junction, MD, US
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Data Scientist with Security Clearance

Job description

Translucent Services is looking for a full time Data Scientist that can bring their mastery
to fulfill required programming needed within the Government. We are in search of a
personnel who is capable of providing accuracy to support major projects both far and
wide. We welcome and invite you to be a part of our growing high-performance team! About Us
Founded in 2020, Translucent Services was formed by a team of High-Performance Computing
and Data Storage Engineers trained in special U.S. Government spaces. We have a successful
history of helping technology manufacturers drive multi-million-dollar sales through pre and post
sales professional services. We identify root causes by working directly with an OEM s support
team and their end-customers to review log data, configurations, and customer architectures. By
leveraging our deep enterprise IT and HPC expertise, we help our OEM customers grow their
businesses with new and existing customers. Our skillsets are multifaceted and unparalleled;
we strive for Perfection in Delivery, every time. Job Description
Create and maintain data analytics, data metrics and data visualizations on large data sets of
customer mission data. Tools used include Python and shell scripting to update existing scripts.
Familiarity with Elasticsearch and Kibana for dashboard creation is important. Experience with
LABBENCH, GM, AI/ML Toolsets like CNN (Neural Networks), TensorFlow, PyTorch, Keras, R
Programming Language and other customer data systems. Software development experience
and willingness to will be key to your success. Position Title and Capabilities
Data Scientist - L2 Candidates should have experience in: - Data management, curation, data description and visualization, workflow and reproducibility - Data modeling, inference and prediction - Devising strategies for extracting meaning and value from large datasets - Make and communicate conclusions from data using elements of mathematics, statistics, computer science and application specific knowledge - Develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness and structure - Translate mission needs and analytic questions related to datasets into technical requirements and assist customer(s) with drawing appropriate conclusions from the data analysis - Make recommendations regarding competing technical solutions given constantly changing data collection, processing, storage analytic capabilities and limitations Ideal Candidate
Education: Bachelor s in Mathematics, Statistics, Artificial Intelligence, Machine Learning, Data
Science or Computer Science, or Computer Information Systems. Degrees in other disciplines
will be considered if the candidate has significant experience or coursework in mathematics,
statistics, AI, ML, computer science, programming, data mining or data structures. Experience: Candidates must have experience in designing/implementing machine learning
data science programming, advanced analytical algorithms, statistical analysis, data
management, mining and modeling, artificial intelligence and/or software engineering. Candidates should have experience with designing and implementing learning algorithms,
advanced analytical algorithms, data science and programming skills. Significant experience
with at least one high level language (ex: Python) to perform statistical analysis (variability,
inference, hypothesis testing, EDA application of linear models), data hygiene, data modeling,
AI/ML and/or software engineering. A broad range of experience with depth in data science or
software engineering is strongly preferred. Clearance Requirement
Active Clearance w/ appropriate Polygraph Benefits
- Work-life balance is important to us at Translucent, so with the large volume of travel also
comes an opportunity to create a flexible working schedule.
- Healthcare, vision, and dental coverage
- 401k plan
- Flexible PTO
- Competitive salary
- Company reimbursed travel
- Life Insurance
- Paid Holidays
- Short Term Disability

Full-time 2024-06-08
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