Data Scientist Bslef8

E3 Federal Solutions, LLC Alexandria , VA 22313

Posted 3 months ago

Division

BSLE - With hundreds of employees supporting Customs and Border Protection, Federal Protective Service, and Immigration and Customs Enforcement in locations spanning from Sonoran Desert, Arizona to Washington, DC, E3/Sentinel's Border Security and Law Enforcement (BS&LE) Division stands apart from most Federal consultants. We are 100% mission focused on providing the specialized support and innovative technologies our clients demand. E3/Sentinel's trained professionals are focused on facilities and engineering management, project management, financial analysis, and human capital management as they work toward securing our borders and defending our national security.

Position Overview

Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of "big data" solutions to promote efficient trade and travel. Further, effective "big data" solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure.

In response to this challenge, E3/Sentinel, as a trusted mission partner of CBP, seeks capable, qualified, and versatile data scientists to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy.

Responsibilities

  • Lead and 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 expert 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.

Required Qualifications

  • Bachelor's Degree (required), Master's or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience

  • Significant experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems.

  • Proficiency with statistical software packages: SAS, SPSS Modeler, R, WEKA, or equivalent.

  • Experience with programming languages: R, Python, Scala, Java, SQL, or equivalent.

  • Experience constructing and executing queries to extract data in support of EDA and model development.

  • Experience with unsupervised and supervised machine learning techniques and methods.

  • Experience working with large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databases.

  • Experience performing data mining, analysis, and training set construction.

  • Completed CBP Background Investigation clearance (active or re-instate-able)

Preferred Qualifications

  • Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).

  • 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, categorization, and entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation).

  • Experience working in a team and deploying solutions in an iterative or agile/DevOps continuous integration and delivery environment using lifecycle management methods and tools.

  • Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI).

EEO Statement (Select the Only Available Option)

E3/Sentinel is an equal opportunity employer and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) federal contractor. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, protected veteran status, or status as a qualified individual with a disability. E3/Sentinel hires and promotes individuals solely on the basis of their qualifications for the job to be filled.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Scientist

Mantech International Corporation

Posted 3 days ago

VIEW JOBS 11/15/2019 12:00:00 AM 2020-02-13T00:00 Secure our Nation, Ignite your Future Job Overview Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure. In response to this challenge, ManTech, as a trusted mission partner of CBP, seeks capable, qualified, and versatile Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. 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 unsupervised and supervised machine learning techniques and methods * Experience working with large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databases * Experience performing data mining, analysis, and training set construction * Bachelor's Degree (required) or Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience * Must have 5+ years of related work experience Desired Skills * 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, categorization, and 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) * Active Top Secret Clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS clearance is required as well as CBP suitability. Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) Background Investigation. #LI-FA1 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. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information. Mantech International Corporation Alexandria VA

Data Scientist Bslef8

E3 Federal Solutions, LLC