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.
