Data Scientist

Posted 8 Days Ago
Washington, DC
Expert/Leader
Information Technology
The Role
The Data Scientist will lead teams in implementing data analytics projects, utilizing advanced techniques in data manipulation and analysis. Responsibilities include developing SQL queries, optimizing data models, and providing strategic insights into complex IT systems. The role emphasizes expertise in handling both small and large data environments.
Summary Generated by Built In

Data Scientist

Kaimetrix is seeking a Data Scientist to join our team based in in Washington, DC. The Data Scientist (SME) will be a subject matter expert providing technical knowledge and expertise in complex technology implementation and data analytics projects. The ideal candidate has experience leading moderate-sized data science teams and possesses knowledge spanning business operations and development. The role requires proficiency in handling specialized applications and IT systems to provide strategic insights and solutions to complex problems.

Key Responsibilities:

  • Provide expert analysis and guidance on specialized applications and highly complex IT systems, integrating advanced mathematical principles to resolve narrowly defined issues.
  • Lead moderate-sized data science teams in delivering technical solutions and managing projects.
  • Apply pattern recognition techniques to large structured, semi-structured, and unstructured datasets to automate and optimize data wrangling processes.
  • Develop and optimize complex SQL queries, using advanced techniques like joins, subqueries, aggregation, indices, and common table expressions.
  • Implement and refine data models, mining strategies, data cleansing processes, and segmentation methods.
  • Utilize one or more programming languages or applications such as Python, R, SAS, Tableau, or AWS to support data manipulation and statistical analysis.
  • Demonstrate understanding of trade-offs in algorithm scaling between small and large data environments, adapting solutions to fit context-specific requirements.
  • Maintain a working knowledge of federal grant-making policies, procedures, and administration.
  • Provide clear and comprehensive documentation and integration guidance in line with project requirements.

Minimum Qualifications:

  • Ten (10) years of professional experience in planning, conducting, and participating in the facets of performance requirements, as outlined in the project scope.
  • Master’s Degree in Computer Science, Information Technology, or a related discipline.

Substitution Criteria:

  • Fifteen (15) years of relevant experience in data science and complex technology implementations.
  • Bachelor’s Degree in Computer Science, Information Technology, or a related discipline.

Desired Skills:

  • Expertise in data manipulation, data cleansing, and segmentation techniques.
  • Proficiency in developing and optimizing SQL queries involving advanced techniques.
  • Experience in coding and debugging stored procedures.
  • Development experience using one or more of the following: Python, R, SAS, Tableau, or AWS.
  • Ability to navigate both small and big data environments and balance trade-offs between scaling solutions.

Location:

  • Washington, DC

Position Type:

  • Full-Time

Citizenship Requirement:

  • US Citizenship Required

Kaimetrix is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

Python
R
SAS
SQL
The Company
Holly Springs, NC
67 Employees
On-site Workplace
Year Founded: 2014

What We Do

Kaimetrix is an innovative IT service provider integrating people, processes, and technology to solve today’s most technical and economically challenging problems facing the DoD and Civilian agencies as well as Private Sector organizations.

Our focus is on continuous improvement resulting in the highest-level of customer satisfaction. This commitment is the foundation of our corporate culture and the following values:
-People are the most critical success factor
-Process must evolve through incremental changes
-Improvements must be measurable based on performance
-Continuous improvement is critical to long term success

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