Data Scientist Subject Matter Expert

Key Skills

Apache Hive, Apache Kafka, D3.js, HBase, HDFS, Java Programming, Logistic Regression, Machine learning techniques, MapReduce, Python Programming, R Programming, SAS, Scala Programming, SPSS Statistics, SQL, Sqoop, Tableau

Job Description

ManTech is seeking a highly motivated and career-oriented Data Scientist Subject Matter Expert to help lead the development and delivery of high-quality predictive modeling solutions for our CBP customer. This position is currently on a telework schedule. All candidates wishing to be considered must reside within a commutable distance to Northern Virginia.

Responsibilities include but are not limited to:

• Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities.
• Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes.
• Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets 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 to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions.
• Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results.
• 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.

Required Qualifications:

• Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems
• Experience with programming languages including: R, Python, Scala, Java.
• Proficiency with SQL programming
• Experience constructing and executing queries to extract data in support of EDA and model development
• Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent
• Experience with pattern recognition and extraction, automated classification, and categorization
• Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)
• Experience with unsupervised and supervised machine learning techniques and methods
• Experience performing data mining, analysis, and training set construction

Preferred Qualifications:

• Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation.
• 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.
• Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
• Experience with pattern recognition and extraction, automated classification, and categorization
• Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)
• 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

Education Requirements:

• A PhD and 7 years of relevant experience, a Master’s and 9 years of relevant experience, a Bachelors and 12 years of relevant experience or 18 years of relevant experience is required.

Clearance requirements:

• Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability as well as a Top Secret clearance.

Physical Requirements:

• Must be able to remain in a stationary position approximately 50% of the time.

The projected compensation range for this position is $170,700-$283,800. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it’s employees beyond just compensation. ManTech’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.

ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.