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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

Platform: smartrecruiters
Effort: medium