Data Scientist

General information

Description & Requirements

ManTech seeks a motivated, career and customer-oriented SME Data Scientist to join our team in Ashburn, VA. This is a hybrid position with 2 days on-site and 3 days remote weekly.

Responsibilities include but are not limited to:

• Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).
• Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.
• Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.
• Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
• Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.
• Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting.

Minimum Qualifications:

• Undergraduate degree in mathematics, statistics, computer science/engineering, or other related technical fields and 12 plus years equivalent practical experience.
• Experience with:
  • Developing machine learning models and applying advanced analytics solutions to solve complex business problems.
  • Programming languages including R, Python, Scala, Java, and proficiency with SQL programming.
  • Constructing and executing queries to extract data in support of EDA and model development.
  • Pattern recognition and extraction, automated classification, and categorization.
  • Entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation).
  • Unsupervised and supervised machine learning techniques and methods.
  • Performing data mining, analysis, and training set construction.
• Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.
• Proficiency with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
• Proficiency with unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.

Preferred Qualifications:

• Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI).
• Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).
• Master’s degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.

Security Clearance Requirements:

• Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability prior to starting this position.
• Must have a current/active Top Secret clearance.

Physical Requirements:

• Must be able to be in a stationary position more than 50% of the time
• Constantly operates a computer and other office productivity machinery, such as a computer
• The person in this position frequently communicates with co-workers, management and clients, which may involve delivering presentations ad must be able to exchange accurate information in these situations