Data Scientist

Key Cyber Solutions

• $110K — $130K *
US-AnywhereRemote in Richmond, VA
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data analysis, machine learning, or related fields.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of statistical analysis, data mining, and machine learning algorithms.
  • Experience with data visualization tools and libraries.

Responsibilities

  • Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights.
  • Develop predictive models and algorithms to support various business functions and initiatives.
  • Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects.
  • Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders.
  • Stay abreast of the latest industry trends, technologies, and methodologies in data science.
  • Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization.

Benefits

  • Opportunity to work in a data-driven environment with impactful projects.
  • Engagement in continuous learning with exposure to the latest data science methodologies.
  • Collaborative culture that encourages input from various departments.
  • Support from a HUBZone certified business with a focus on local community engagement.
  • Work in a role that directly influences strategic business decisions.
Full Job Description
Job Description

As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and interpret complex data sets to uncover insights, trends, and opportunities that can guide business strategies and decisions.

Responsibilities:
  1. Data Analysis and Interpretation: Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights.
  2. Model Development: Develop predictive models and algorithms to support various business functions and initiatives.
  3. Collaboration: Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects.
  4. Visualization: Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders.
  5. Continuous Learning: Stay abreast of the latest industry trends, technologies, and methodologies in data science.
  6. Reporting and Communication: Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization.


Qualifications

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data analysis, machine learning, or related fields.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of statistical analysis, data mining, and machine learning algorithms.
  • Experience with data visualization tools and libraries.


Additional Information

THIS POSITION REQUIRES AN ACTIVE TS/SCI W/POLYGRAPH.

As a HUBZone certified business, we STRONGLY encourage candidates who reside in a HUBZone to apply. To confirm if your home address is within a HUBZone, please visit http://map.sba.gov/hubzone/maps/.
  • ***Please note in your cover letter if you reside within a designated HUBzone location. ****

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