Description The EAST 2 contract is seeking a Data Scientist to support NASA's Information, Data, & Analytics Services (IDAS) team. The team is seeking a motivated individual with a diverse background in developing models, machine learning, artificial intelligence, predictive data analytics, and incorporating advanced programming to find and analyze data. You'll be part of a large community of data scientists across the NASA Agency and collaborate with data engineers, data scientists, and data architects, as well as product owners and mission experts.
Job Description: As a data scientist supporting IDAS, you'll be responsible for collecting, analyzing and interpreting data to help drive decision making and analysis for NASA. Your ability to understand and prepare data, develop analytical solutions, predictive models, and applications using various types of analytics tools for both technical and non-technical users is key and makes you an integral part of delivering a customer-focused solution to NASA. Work with customers to provide NLP Machine Learning (ML) solutions for their specific use cases. Gather customer requirements and develop solutions to meet their needs. Train ML models using customer provided data. Gather and prepare relevant data to use in analytics applications. Integrate multiple ML technologies such as large language models, document embeddings, and link prediction algorithms to develop intelligent digital assistants. Use various types of analytics tools to detect patterns, trends and relationships in data sets. Develop statistical and predictive models to run against the data sets. Maintain server-side Python applications and API's running on Red Hat Enterprise Linux (RHEL) and built on top of Apache and Flask. Perform server administration tasks such as software patching, SSL implementation, platform upgrades, SSO, etc.… Develop data cleansing techniques for the ingestion of a wide variety of data from various sources across the agency. Maintain connections between different systems, troubleshoot issues when systems cannot pass data between each other. Utilize cloud infrastructure, such as AWS, GCP, and Azure, to develop Web / REST based interfaces for ML applications. Develop and maintain native Windows .Net applications integrated into Microsoft Office using Visual Studio Tools for Office. Communicate / work with the agency software release team to provide updates to NASA software packages. Maintain and document the processes. Communicate with the management on current status and issues. Qualifications Required Education: Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience. Desired Education: B.S. in Computer Science, Information Systems, Mathematics, Statistics, Data Science, Software Engineering, or another relevant field. Required Experience: 2+ years of relevant data science experience. Expertise in all phases of data science, from initial data discovery through data cleansing and model selection, validation and deployment. Knowledge and understanding of common data warehouse and data lake structures. Experience with using statistical approaches to solve analytics problems. Proficiency in popular machine learning frameworks. Familiarity with common data science and machine learning techniques, such as decision trees, K-nearest neighbors, naive Bayes classifiers, random forests and support vector machines. Experience with techniques for both qualitative and quantitative analysis. Familiarity with Machine Learning Based Natural Language Processing techniques. Must be able to develop in R, C#, .Net, C++, Python, CSS, HTML, and Javascript. Experience with developing Microsoft Office Add-ins using Visual Studio Tools for Office (VSTO). Experience deploying and fine-tuning open-source large language models. Should also have experience with working on and deploying SQL and graph databases. Experience with cloud platforms such as AWS, GCP, and / or Azure. Experience with automation using scripting languages such as Bash. Experience with common data wrangling tools such as Alteryx. Familiarity with Linux system administration. Needs to also be familiar with web technologies such as Apache and Flask. Prior experience with developing web API's Experience with working with customers, gathering requirements, and proposing solutions based on those requirements. Solid collaboration, communication and business relationship skills with customers, management peers, and team members Motivated, self-directed, results oriented Strong planning and organization skills as role will communicate with varying levels of team members across business stakeholders, technology and management Strong written, presentation, and facilitation skills Desired Experience: Experience with working on multi-disciplinary Agile teams Familiarity with collaboration tools: Atlassian JIRA & Confluence GitLab MS Teams/O365 Clearance: Must be a U.S. Citizen with the ability to obtain a Public Trust Clearance.
Target salary range: $125,001 - $150,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
