Senior Data Scientist

About the role

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Springfield, VA. The Data Scientist shall perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and develop software to enable thorough monitoring and management of data pipeline tasks.

Responsibilities Include But Are Not Limited To

Integrate emerging sensors and platforms into existing data pipelines. Develop pipelines and relevant data structures to incorporate new sensor source into existing data workflows.

Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline

Conduct analysis of how the emerging sensor data impacts overall customer data holdings from the perspective of Machine Learning model development, test and evaluation use- cases, and support for real-world operational use-cases

Evaluate and recommend a solution for partitioning the emerging sensor's data into training, test, and validation splits for effective Machine Learning model development and model performance evaluation

Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. Foster cross-departmental collaboration to enhance workflows and create efficiencies in data analysis and imagery curation that results in greater productivity and efficacy of labeling efforts

Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data

Build web scraping algorithms for imagery curation in accordance with customer data priorities

Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and concerns to meet customer priorities

Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities

Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives

Build and integrate analytic tools and algorithms for imagery curation for imagery acquisition and chipping

Build software tools to manage labeling campaigns that keep track of unlabeled and labeled data, status of labeling campaigns, and transfer label task information.

Build software tools to filter and visualize data geospatially, allow feedback entry, or allow analysis of data. Tool must integrate with existing data management platform

Conduct analysis of overall customer data holdings to support the development of performant Artificial Intelligence and Machine Learning models to satisfy operational user requirements

Evaluate, monitor, and provide recommendations on ways to partition training, test, and validation splits for effective Machine Learning model development and model performance evaluation

Minimum Qualifications

10+ years of experience; BA can account for 4 years while a MA/MS can account for an added 2 years of experience.

Experience working with AI/ML technologies and data systems

Experience working with multiple file types including geospatial file formats, JSON, XML, etc.

3+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL)

Development experience in Python and other languages for data cleaning and manipulation

Preferred Qualifications

Experience applying Natural Language Processing (NLP) algorithms to extract data from documents

Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices.

Demonstrated expertise in math, statistics, and quantitative analysis. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling.

Clearance Requirements

An active TS/SCI clearance with the ability to obtain and maintain a polygraph

Physical Requirements

Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting.

Must be able to occasionally move about the work area to collaborate with team members and access mission systems.