Data Scientist SR
$85K-$139K (Glassdoor est.)
Data Scientist, Senior, Charlottesville, VA

Position Summary

TBG is seeking a Senior Data Scientist to provide support.

Principle Responsibilities of the Position:

· Proficiency in at least one of the following languages: Python, R, Java, C++ as applied to programming access and manipulation of data (other languages will be considered).

· Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs).

· Experience working with a range of data storage/access options (e.g. S3 buckets, FTP sites, APIs).

· Demonstrated experience enabling access to data by way of databases or dashboards.

· Familiar with Department of Defense (DoD) and Intelligence Community (IC) activities, functions, and organizational structures.

· Knowledge and understanding of DoD/IC operations, data infrastructure and architecture.

· Familiarity with cloud services as applied in the DoD and IC.

· Knowledge with simplification and optimization of data automation workflows; streamlining of extract-transform-load (ETL) operations. Certification as an IT architect or enterprise architect from the Open Group, FEAC, or other industry recognized IT architecture certification program preferred.

· Knowledge of IT related disciplines: Software Development Life Cycle (SDLC) including a basic understanding of various SDLC methodologies such as agile and waterfall and their appropriate usage.

· Knowledge of modeling approaches: Unified Modeling Language (UML), Business Process Modeling, and Data Modeling.
Knowledge and experience in statistical and data mining techniques and social network analysis
Collaborate with stakeholders within the organization to identify opportunities for leveraging data to drive analytical solutions.
Mine and analyze data from databases to drive optimization and improvement of product development, analytical techniques, and analytical assessments.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Develop TTPs for coordinating the flow of information and work periodically test and verify said TTPs.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Train and educate front-end users of the knowledge management tools.
Coordinate with various functional teams to implement models and monitor outcomes.
Create predictive modeling to increase and optimize customer experiences.
Develop custom data models and algorithms to apply data setsExperience creating and using advanced machine learning algorithms and statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks
· Deep understanding of data architecture approaches (e.g., TOGAF), industry standards and best practices (e.g., DMBOK).

· Strong technical skills with data technologies (e.g., Master Data Management, Enterprise Data Warehouses, Operational Data Stores, Database Management Systems, Business Intelligence).

· Practical experience with, and a strong understanding of design approaches for Enterprise Data Warehouses.

· Expert data modeling skills (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data Warehouses and Data Marts).

Education Required:

· Bachelor’s degree with 9 or more years’ experience in information technology or related discipline

· OR

· Master’s Degree with 7 or more years’ experience in information technology or related discipline

· OR

· PhD degree with 4 or more years related work experience

· OR

· Equivalent combination of education and experience

Experience Required:

· Experience cleaning, filtering, and transforming data, as well as enriching data, especially by way of database joins or table lookups.

· Must have an enterprise perspective to data and how the data drives business value.
Experience using web services including SOAP, S3, and Spark
Experience with distributed data/computing tools including Map/Reduce, Hadoop, Accumulo, and MySQL
· Experience with ETL concepts, Cognos and OBIEE tools.

· Experience with Master Data Management tools.

Special Knowledge/Skills Required:· Current DoD TS/SCI Security Clearance

The Buffalo Group is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities
The Buffalo Group
3.9
The Buffalo Group
