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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
Date Posted: 20 March 2025
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