What are the responsibilities and job description for the Data Scientist, TS / SCI position at Maania Consultancy Services?
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 Preferred Qualifications : Bachelor’s degree or equivalent experience in a related field. Familiarity and experience with the Intelligence Community (IC), and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Hands-on experience implementing generative AI (Gen AI) models. Hands-on experience implementing Retrieval Augmented Generation (RAG) in Gen AI solutions. Experience implementing advanced NLP machine learning models on tasks such as entity resolution, question and answering, and text summarization. Experience developing and deploying data science solutions in containers. Familiarity and experience with interacting programmatically with IC data stores and analytic services. Master’s degree or equivalent experience in a related field. Working knowledge and experience is accessing remote APIs using cryptographic keys and digital certificates. Experience extracting features from data stored in a wide range of possible formats including JSON, XML, raw text logs, industry-specific encodings, and graph link data. Working knowledge with Collaboration tools, such as, Jira and Confluence. Powered by JazzHR
