Senior Data Scientist (Reston, VA)

Senior Data Scientist

The Maximus Emerging Technologies Center of Excellence (CoE) is a startup within a global organization whose mission is Helping government serve the people. We support our lines of business in transforming how governments serve the people and improve their lives through the adoption of emerging technologies. In the role of a Senior Data Scientist you will collaborate with teams in advancing the applied use of Artificial Intelligence (AI) and Machine Learning (ML) support the end-to-end implementation of AI ML solutions work with engineering teams in integrating AI ML solutions into their solutions and investigate tools while supporting the deployment of MLOps platform. The CoE provides a unique opportunity in making a difference to citizens and society while embracing an inclusive culture that champions diversity and collaboration in an environment that is committed to lifelong learning growth and development. As a large employer and Federal contractor Maximus is subject to various vaccine mandates across our lines of business. Maximus is committed to complying with any applicable vaccine mandates. The specific vaccine requirements for this position will be outlined throughout the selection process. Individuals who believe they may qualify for a medical or religious accommodation will have the opportunity to apply for an accommodation following an offer of employment. Primary Responsibilities Lead AI ML solutions from scoping through deployment and monitoring Collaborate with engineers solution architects project managers and our services teams to design and implement models and experiments from end to end including data ingestion and preparation analysis and modeling model deployment monitoring and documentation Develop and maintain scalable data pipelines and builds AI ML models to support our lines of business Contribute towards the curation development and dissemination of AI ML related educational materials Contribute towards the curation development and promotion of playbooks best practices standards such as Responsible AI and lessons learned Support AI solutions from scoping through deployment and monitoring Collaborate on the selection and piloting of platforms (e.g. MLOps) and tools for the business Maintain current knowledge of AI technology landscape and emerging developments attend tradeshows and conferences Minimum Requirements Bachelor s degree in related field 5-7 years of relevant professional experience required Minimum 3 years leading end-to-end (scoping design development testing deployment and monitoring) implementation of AI ML solutions that drive significant business benefit Experience in design thinking lean startup and agile project management practices Experience implementing solutions within cloud environments including container-based environments (Docker Kubernetes) and MLOps platforms Experience with scientific and machine learning libraries e.g. SciPy Scikit-learn NumPy spaCy Spark NLP Experience with deep learning frameworks such as Tensorflow and PyTorch Strong software development skills Proficient in at least two programming languages including Python Proficient in building data processing pipelines Proficient with developing predictive models on structured data (regression classification clustering time-series) Proficient with Natural Language Processing Experience with Knowledge Representation and GNN Desired experiences Helped develop AI communities through meetups blogs etc. Knowledge with graphs Bayesian networks Graph Neural Networks Reinforcement Learning Causal Modeling