Data Scientist
At a glance
Mid-level Data Science role at Key Cyber Solutions. Remote, United States · part-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Examine complex datasets for patterns and connections that can inform business decisions
- Build predictive models and algorithms for different business functions and initiatives
- Coordinate data projects with product development, marketing and operations teams
- Turn findings into visuals and recommendations that technical and non-technical stakeholders can use
What you bring
- A degree in computer science, statistics, mathematics or another related field
- At least three years in data analysis, machine learning or a related area
- Working proficiency in Python or R, plus a firm grounding in statistics, data mining and machine learning
- Experience using data visualization tools or libraries
- An active TS/SCI clearance with polygraph
Who this fits
This part-time, remote role is based in Richmond and suits someone who can analyze data, build models and explain findings to varied stakeholders. An active TS/SCI clearance with polygraph is required. Candidates living in a HUBZone are encouraged to apply.
From the employer
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 work-ethic, 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.
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 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.
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