39 Pemcco Data Jobs Hiring Near You

Pay: $48.56 - $77.69 hourly, depending on experience

Benefits: Medical, Dental, Vision, Paid Time Off, Paid Holidays, Employee Assistance Program, and other company-sponsored benefits

Security Clearance: Ability to obtain and maintain a government security clearance if required

Are you an experienced data scientist who enjoys solving complex problems, building advanced analytical models, and turning large datasets into actionable business intelligence?

PEMCCO is seeking a Senior Data Scientist to lead data-driven initiatives that support critical government and mission-focused operations. This role is ideal for a highly skilled analytical professional who enjoys leveraging machine learning, predictive analytics, data visualization, and statistical modeling to influence strategic decisions and drive operational success.

This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering.

About PEMCCO

PEMCCO supports complex technical and operational programs by providing skilled professionals who help customers achieve mission success. We offer opportunities to work on impactful projects, collaborate with experienced teams, and develop innovative solutions that support critical government operations.

Job Overview

As a Senior Data Scientist, you will apply advanced analytical, statistical, and computational methodologies to solve complex business and mission challenges. You will lead analytical initiatives, develop predictive and prescriptive models, and transform large, complex datasets into meaningful insights that support strategic planning, operational effectiveness, and informed decision-making.

This position offers the opportunity to work with diverse data sources, advanced analytics tools, and cross-functional teams while helping organizations maximize the value of their data assets.

What You'll Do

• Collect, analyze, interpret, and validate structured and unstructured data from multiple sources
• Develop and implement advanced statistical, predictive, and machine learning models
• Design and maintain data pipelines, analytical processes, and data workflows
• Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings
• Identify trends, patterns, anomalies, and opportunities for operational improvement
• Support data management, governance, and data quality initiatives
• Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions
• Evaluate and recommend data science tools, technologies, and methodologies
• Present analytical findings, recommendations, and insights to leadership and stakeholders
• Provide technical guidance and mentorship to junior analysts and data scientists
• Document methodologies, assumptions, analytical processes, and findings
• Support mission, program, and organizational objectives through data-driven decision-making

What You BringRequired Qualifications

• Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field
• Ten (10) years of experience in data science, data analytics, statistical analysis, machine learning, predictive analytics, or a related field
• Strong knowledge of data science, statistical analysis, and predictive modeling techniques
• Knowledge of machine learning concepts and analytical methodologies
• Understanding of data management and data governance principles
• Ability to analyze and interpret large, complex datasets
• Ability to develop and communicate data-driven recommendations
• Strong analytical, critical-thinking, and problem-solving skills
• Strong written and verbal communication skills
• Ability to communicate effectively with both technical and non-technical audiences
• Proficiency with SQL and data analysis tools
• Ability to work independently and collaboratively within cross-functional teams
• Ability to obtain and maintain a government security clearance if required

Preferred Experience

• Doctorate degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, or a related field
• Experience supporting Department of Defense or Federal Government programs
• Experience developing machine learning and predictive analytics solutions
• Experience with data visualization and business intelligence platforms
• Experience working within cloud-based data environments
• Experience leading analytical projects, research initiatives, or data-driven programs

Why Join PEMCCO?

• Support critical government and customer missions through advanced analytics and data-driven decision-making
• Lead meaningful projects that influence operational and strategic outcomes
• Work with modern analytics, machine learning, and business intelligence technologies
• Collaborate with experienced technical professionals across multiple disciplines
• Solve complex problems using innovative analytical approaches
• Mentor and support the development of emerging data professionals
• Build a rewarding career in a collaborative and mission-focused environment

Work Environment

• Professional office and technical work environments
• Work may be performed at company facilities, customer locations, or designated project sites as needed
• Regular use of computers, analytics platforms, visualization tools, and communication systems
• Frequent collaboration with technical teams, leadership, customers, and stakeholders

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Paid Time Off
• Paid Holidays
• Employee Assistance Program
• Additional company-sponsored benefits

Equal Opportunity Employer

PEMCCO, Inc. is an equal opportunity employer. The Company does not discriminate on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, genetic information, military or veteran status, pregnancy, childbirth and related medical conditions, or any other characteristic protected by applicable federal, state, or local law.