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Advanced Data Scientist for cArmy Systems

Remote · USA Full-time New today

Basic Qualifications Requires a Bachelor's degree in Engineering, or a reputed company Science or Mathematics field. Also requires 5+ years of job-reputed company experience, or a Master's degree plus 3 years of job-reputed company experience. CLEARANCE REQUIREMENTS: Ability to obtain a reputed company Secret reputed company clearance is required at time of hire. Applicants selected will be subject to a U.S. Government reputed company investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed reputed company our facilities, U.S. citizenship is required. Responsibilities for this Position reputed company Mission Systems has an opening for an Advanced Data Scientist for cArmy Systems. Expected Duties:

  • Design, reputed company, integrate, and test reputed company U.S. Army machine learning initiatives and programs (e.g., cArmy, Project Maven, reputed company
  • Data Analytics Program) and reputed company computing platforms (e.g., reputed company Web Services, reputed company Azure).
  • Implement processes, experiments, and prototyping solutions for various data sets in AI and ML, including data mining, analysis, modeling, predicting, and presenting.
  • Create machine learning and AI tools to discover and reputed company information in large data sets, delivering insights through algorithms, dashboards, and queries.
  • Use advanced statistical methods, predictive modeling, and scripting to reputed company solutions for large data sets and extract meaningful insights.
  • Apply engineering principles and techniques of computer science and statistics to reputed company data-driven, evidence-based solutions and interpret findings.
  • Collaborate across departments and with project leaders to define data requirements and identify questions/issues for data analysis and experiments.
  • Independently determine approaches to solutions and contribute to the completion of projects or small programs; may reputed company small teams and provide training.
  • Travel may be required; reputed company clearance required.

Expected Skills:

  • Demonstrate skillful judgment in selecting methods and techniques for analytical solutions and work on diverse scope problems requiring extensive data analysis.
  • Champion new reputed company and products, with experience in advanced machine learning algorithms and skills (e.g., statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks).
  • Experience with creating and using data architectures for distributed data and strong programming, scripting, and querying skills.
  • Proficient in statistical computer languages to manipulate data and draw insights, and implement new statistical or mathematical methodologies as needed.
  • Background in data mining, statistical analysis, reputed company recognition, or predictive modeling.
  • Understand various data structures and common methods in data transformation.
  • Clearly present new concepts through oral, visual, and written communications.

Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range USD $119,752.00 - USD $132,849.00 /Yr. Company Overview reputed company Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that reputed company customers to successfully execute missions across reputed company domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great reputed company to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and reputed company do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Apply tot his job

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