Data Scientist with Active TS/SCI

NW Washington, DC
Full Time
Experienced
Data Scientist:
Location: 2-3 days onsite in NW DC
Pay: 150-160K
Clearance: TS/SCI
 
Responsibilities:
  • Bullets of responsibilities of the role, examples: 
  • Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Document customer requirements to be used for project management.
  • Develop technical architecture that support development approach.
  • Forecast and outline technical tasks that guide weekly development in support of technical projects.
  • Partner with a government product owner and collaborate with a Data Science Team of 5-8 FTEs.
Qualifications:
  • Active TS-SCI clearance 
  • Candidate with at least 4 years of STEM related work experience with a STEM bachelor’s degree or 2 years of relevant work experience with a STEM master’s degree
  • Hands-on experience implementing, training, and evaluating deep learning models with familiarity of adversarial, semi-supervised, and generative architectures
  • Hands-on experience working with Torch, TensorFlow, and similar machine learning frameworks.
  • Skilled in evaluating machine learning models using various metrics beyond accuracy and implementing strategies to improve performance
  • Hands-on experience, knowledge and understanding of statistical and machine learning techniques to model, characterize, and extract meaning from structured and unstructured data.
  • Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization
  • Hands-on experience in object-oriented programming with a language such as C++, Java, or Python; Python as primary programming languages
  • Hands-on experience working on source controlled code with a functional team in a tool like Git or Subversion.
  • Hands-on experience programmatically interacting with cloud (e.g.: Amazon Web Service (AWS)) services and products
  • Strong strategic communication skills to include presenting quantitative concepts in easy-to-understand formats and actively listening to identify business problems and their causes
  • Experience or exposure using python libraries such as pandas, NumPy, GeoPandas, requests, urlib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, NLTK, spaCy, Gensim
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