Top 10 Entity data modeler Jobs in Ashburn, Va

Data Scientist
MANTECH —Ashburn, VA
- Full-time
- Hybrid work
- Bachelor of Science
- Office
- Java
Principal Associate, Data Scientist
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- Health insurance
10d
Software Developer
QualSoft —Ashburn, VA
- Email
- Microsoft Access
- Azure
- Mid-level
Principal Associate, Data Scientist
Information Technology Senior Management Forum —McLean, VA
- $161,800 - $184,600 a year
- Email
- Computer Science
- Office
- SQL
- Health insurance
10d
Semantic Modeler
Enterprise Knowledge —Arlington, VA
- $120,000 - $135,000 a year
- Full-time
- Hybrid work
- 6 years
- Office
- Analysis skills
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6d
Senior Manager, Quantitative Analysis - Model Risk Office
Information Technology Senior Management Forum —McLean, VA
- $229,900 - $262,400 a year
- Email
- Computer Science
- Writing skills
- Office
- Health insurance
Manager, Data Scientist - Deposit Forecasting and Pricing
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Manager, Data Scientist - Deposit Forecasting and Pricing
Information Technology Senior Management Forum —McLean, VA
- $197,300 - $225,100 a year
- Email
- Computer Science
- Office
- AWS
- Health insurance
Senior Manager, Quantitative Analysis - Model Risk Office
Capital One —McLean, VA
- Email
- Computer Science
- Office
- SQL
- Health insurance
Senior Quantitative Analyst - Global Finance
Capital One —McLean, VA
- Email
- Computer Science
- Office
- SQL
- Health insurance

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entity data modeler jobs near ashburn, va

Data Scientist

MANTECH -
Ashburn, VA

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Job Details

Full-time

Qualifications

AI models
Data mining
Supervised learning
Data-driven problem-solving
Unsupervised learning
Query management
Data extraction

Full Job Description

MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote.

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. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate trade and travel.

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).
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.

Minimum Qualifications:

HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 years
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.
Experience with SQL programming
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 performing data mining, analysis, and training set construction

Preferred Qualifications

Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent
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 and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)

Clearance Requirements:

Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.

Physical Requirements:

The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.

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entity data modeler jobs in ashburn, va

Data Scientist

Principal Associate, Data Scientist

Software Developer

Principal Associate, Data Scientist

Semantic Modeler

Senior Manager, Quantitative Analysis - Model Risk Office

Manager, Data Scientist - Deposit Forecasting and Pricing

Manager, Data Scientist - Deposit Forecasting and Pricing

Senior Manager, Quantitative Analysis - Model Risk Office

Senior Quantitative Analyst - Global Finance

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