
Senior Data Scientist
About the role
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 Bring
Required 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
Apply Today
If you're an experienced data scientist looking to solve complex challenges, develop innovative analytical solutions, and help organizations make smarter, data-driven decisions, we encourage you to apply.
Join PEMCCO and help transform data into actionable intelligence that drives mission success.
Compensation
This Data Scientist role pays $49k/yr. Within typical range for data scientist roles in United States.
Questions about this role
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