andrewsafb | Expert Data Science and Tagging Analyst in Bethesda, MD

Expert Data Science and Tagging Analyst

  • Perspecta
  • $98,745.00 - 158,130.00 / Year *
  • 12400 Mt Pleasant Dr
  • Bethesda, MD 20811
  • Full-Time
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Every day at Perspecta, we enable hundreds of thousands of people to take on our nations most important work. Were a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nations most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselvesto respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.

Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many waysnot only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter.

Perspectas talented and robust workforce14,000 strongstands ready to welcome you to the team. Lets make an impact together.

Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories


Responsibilities

Assist the Government to mine and analyze data from various databases to drive optimization and improvement of strategy and policy development. The Contractor shall develop custom data models and algorithms to apply to data sets. The Contractor shall recommend, develop and support implementation of best practices for standardizing data across its lifecycle through engineering, development and governance.
Advise on a range of Enterprise and IC data management matters through their application of substantive, analytical, operational, program management, and/or IC expertise.




Doctorate (PhD) + 8 years, Masters +8, Bachelors +12, Associates + 14, High School/GED +16, No deg. +20

Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Data Science, Engineering, IT Management, Mathematics, or Statistics (or another quantitative field).

Minimum five (5) years of experience manipulating data sets and building statistical models, and familiarity with:
o Coding knowledge and experience with several languages (C, C++, Java, JavaScript, etc.);
o Statistical and data mining techniques (Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.);
o Querying databases and using statistical computer languages (R, Python, etc.);
o Using web services (Redshift, Spark, DigitalOcean, etc.); and
o Creating and using advanced machine learning algorithms and statistics (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.).
o These five (5) years may be concurrent with requisite years of experience.

Strong problem solving skills with an emphasis on product development.

Proven ability to drive business results with data-based insights. Knowledge of Advanced Statistical Techniques.

Demonstrated expertise with developing and implementing data management strategies, processes, and technical solutions.

Demonstrated expertise with one of the key data management knowledge areas: data management, data quality, metadata management, data governance, data modeling and design, data storage and operations, data integration and operability, document and content management, reference and master data.

Outstanding oral and written communication skills with the ability to conduct independent research, filter and synthesize data, and produce clear, logical, and concise recommendations to policy and decision-making data management and governance professionals.

Outstanding interpersonal skills, including the ability to work independently and in a team.


Associated topics: computer engineering, computer science, electrical, electronic engineering, java, machine learning, malware, processor, programming, radar


* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.