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Data Scientist

Key Facts

Remote From: 
Full time
Mid-level (2-5 years)
English

Other Skills

  • •
    Collaboration
  • •
    Communication

Roles & Responsibilities

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • At least 3 years of experience in data analysis, machine learning, or related areas.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of statistical analysis, data mining, and machine learning algorithms.

Requirements:

  • Analyze large and complex data sets to identify patterns and insights.
  • Develop predictive models and algorithms to support business initiatives.
  • Collaborate with cross-functional teams to align data-driven projects.
  • Create visualizations to communicate data insights to stakeholders.

Job description

Company Description

Key Cyber Solutions (KCS) is a leading enterprise IT consulting firm that specializes in Secure Agile Software Development, Cybersecurity, Enterprise IT and Data Management services for both government and healthcare organizations. Our approach to business is both aggressive and agile. We value a strong workethic, good judgement, organizational skills and, most importantly, an entrepreneurial spirit. At KCS we treat our employees like family and, in turn, they pay that respect forward to every one of our clients.

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 crossfunctional teams, including product development, marketing, and operations, to ensure alignment of datadriven projects.
  4. Visualization: Create clear and engaging visualizations to represent data insights for technical and nontechnical 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.
    1. Qualifications

      Qualifications:

      • Bachelors or Masters 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 TSSCI WPOLYGRAPH.

          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.govhubzonemaps.

          • ***Please note in your cover letter if you reside within a designated HUBzone location. ****

          • All your information will be kept confidential according to EEO guidelines.

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