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Sr. Data Scientist/Sr. Database Architect

Job Description

Group: MSS

Clearance Level Needed: Top Secret

Shift: Day

Category: Scientific / Analytical

ManTech is seeking experienced and skilled professionals to provide Business Intelligence Support Services to assist the Customs Border Protection to effectively and efficiently identifying cargo, individuals and conveyances that may present additional risk to the United States; conduct terrorism analysis and global assessments that convey changes in terrorism threats and identify emerging threats; develop and evaluate CBP-wide intelligence based targeting rules and intelligence driven special operations; and coordinate and enhance analysis and targeting efforts.

The Data Scientist/Database Architect will:

• Mine and analyze databases to drive optimization and improvement of product development, analytics techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experience.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

The candidate should have experience manipulating data sets and building statistical models, hold a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and be familiar with the following software/tools:

• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.

• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

• Strong problem solving skills with an emphasis on product development.

• Experience working with and creating data architectures.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques.

• Coding knowledge and experience with several languages: C++, Java, JavaScript, etc.

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark, Impala, MySQL, etc.

• Experience visualizing/presenting data for stakeholders using Periscope, Business Objects, D3, ggplot, etc.

The ideal candidate is adept at using large data sets to find anomalies and queries identified as data of interest. They must have strong experience using a variety of data mining/data analysis methods and data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Location: Dependent on Customer direction in either Herndon, VA, Sterling, VA or Alexandria, VA

MUST BE A US CITIZEN AND ABLE TO OBTAIN AND MAINTAIN A CBP/BI CLEARANCE. POTENTIAL TO BE SPONSORED FOR A TOP SECRET CLEARANCE.

Job Requirements

Education: Masters or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Relevant training (preferably a Master's degree in data science, analytics, statistics, econometrics, computational social science, computer science, etc.)
Experience with large amounts of data (Hadoop preferably, but also Oracle Exadata)
Experience with Python, SQL, supervised machine learning techniques, and unsupervised machine learning techniques
Experience with Java
Minimum 5-7 years of progressively relevant experience
• Must meet the US Citizenship requirement and be able to obtain and maintain a Customs Border Protection Background Investigation

Job Snapshot

Location US-VA-Alexandria
Employment Type Full-Time
Pay Type Year
Pay Rate N/A
Store Type Clinical & Scientific
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Company Overview

ManTech International Corporation

ManTech was founded in 1968 to provide advanced technological services to the United States government. We began with a single contract with the U.S. Navy to develop war-gaming models for the submarine community. Over the years, our government's technology needs have increased dramatically in scope and sophistication, and we have grown to meet that challenge. Learn More

Contact Information

US-VA-Alexandria

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Snapshot
ManTech International Corporation
Company:
US-VA-Alexandria
Location:
Full-Time
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
Clinical & Scientific
Store Type:

Job Description

Group: MSS

Clearance Level Needed: Top Secret

Shift: Day

Category: Scientific / Analytical

ManTech is seeking experienced and skilled professionals to provide Business Intelligence Support Services to assist the Customs Border Protection to effectively and efficiently identifying cargo, individuals and conveyances that may present additional risk to the United States; conduct terrorism analysis and global assessments that convey changes in terrorism threats and identify emerging threats; develop and evaluate CBP-wide intelligence based targeting rules and intelligence driven special operations; and coordinate and enhance analysis and targeting efforts.

The Data Scientist/Database Architect will:

• Mine and analyze databases to drive optimization and improvement of product development, analytics techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experience.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

The candidate should have experience manipulating data sets and building statistical models, hold a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and be familiar with the following software/tools:

• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.

• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

• Strong problem solving skills with an emphasis on product development.

• Experience working with and creating data architectures.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques.

• Coding knowledge and experience with several languages: C++, Java, JavaScript, etc.

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark, Impala, MySQL, etc.

• Experience visualizing/presenting data for stakeholders using Periscope, Business Objects, D3, ggplot, etc.

The ideal candidate is adept at using large data sets to find anomalies and queries identified as data of interest. They must have strong experience using a variety of data mining/data analysis methods and data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Location: Dependent on Customer direction in either Herndon, VA, Sterling, VA or Alexandria, VA

MUST BE A US CITIZEN AND ABLE TO OBTAIN AND MAINTAIN A CBP/BI CLEARANCE. POTENTIAL TO BE SPONSORED FOR A TOP SECRET CLEARANCE.

Job Requirements

Education: Masters or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Relevant training (preferably a Master's degree in data science, analytics, statistics, econometrics, computational social science, computer science, etc.)
Experience with large amounts of data (Hadoop preferably, but also Oracle Exadata)
Experience with Python, SQL, supervised machine learning techniques, and unsupervised machine learning techniques
Experience with Java
Minimum 5-7 years of progressively relevant experience
• Must meet the US Citizenship requirement and be able to obtain and maintain a Customs Border Protection Background Investigation

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