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The Role
Leads large-scale data science and mathematics projects for Department of Defense clients. Develops advanced statistical, predictive, machine learning, simulation, optimization, and forecasting models; oversees data analysis and scalable processing solutions; advises clients and senior leadership; manages resources and technical delivery; mentors teams; communicates findings through reports and presentations; and ensures compliance with DoD standards and security requirements.
Summary Generated by Built In
LEAD DATA SCIENCE ENGINEER/SPECIALIST - DATA SCIENTIST
Concurrent Technologies Corporation
As a Lead Data Science Engineer/Specialist, you will serve as a senior technical expert and strategic leader, driving the development and application of advanced data science and mathematical solutions to address mission-critical challenges for Department of Defense (DoD) clients. You will lead large-scale projects, provide thought leadership, and shape the direction of technical initiatives while mentoring teams and ensuring the delivery of innovative solutions. This role requires exceptional technical expertise, leadership skills, and the ability to influence organizational strategy.
Key Responsibilities:
Strategic Leadership and Project Oversight:
Lead the planning, execution, and delivery of large-scale, complex data science and mathematics projects, ensuring alignment with client objectives and organizational goals.
Define project strategies, establish priorities, and allocate resources effectively to meet deadlines and deliverables.
Serve as a trusted advisor to clients, providing strategic guidance and technical expertise to address their most pressing challenges.
Technical Expertise and Innovation:
Develop and implement cutting-edge data science methodologies, algorithms, and mathematical models to solve complex problems.
Drive innovation by researching and applying emerging technologies in artificial intelligence, machine learning, and advanced analytics.
Lead the development of scalable solutions for data processing, analysis, and modeling in operational environments.
Advanced Data Analysis and Modeling:
Oversee the design and implementation of advanced statistical, predictive, and machine learning models to support decision-making.
Conduct sophisticated exploratory data analysis (EDA) to uncover actionable insights and inform strategic decisions.
Develop and refine mathematical models for simulation, optimization, and forecasting tasks.
Tool and Technology Utilization:
Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
Lead the integration of data science workflows into enterprise systems and processes to enhance operational efficiency.
Oversee the use of data visualization tools (e.g., Tableau, Power BI, matplotlib) to communicate insights effectively to diverse audiences.
Collaboration and Communication:
Collaborate with senior leadership, multidisciplinary teams, and stakeholders to define technical strategies and project goals.
Prepare and deliver high-quality technical reports, presentations, and documentation for executive-level audiences.
Facilitate cross-functional collaboration and foster a culture of innovation and excellence within the organization.
Mentorship and Team Development:
Provide mentorship and guidance to junior and mid-level team members, fostering their technical and professional growth.
Build and lead high-performing teams, ensuring alignment with organizational goals and client needs.
Promote knowledge sharing and continuous learning within the team and organization.
Support for DoD Projects:
Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making.
Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients.
Ensure all deliverables comply with DoD standards, policies, and security requirements.
Required Qualifications:
Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
6+ years of relevant experience in data science, mathematics, or related fields.
Advanced proficiency in programming languages such as Python, R, MATLAB, or similar.
Strong expertise in statistical methods, machine learning techniques, and mathematical modeling.
Proven ability to lead large-scale projects, manage teams, and deliver high-quality results.
Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
Exceptional analytical, problem-solving, and critical-thinking skills.
Strong written and verbal communication skills, with experience presenting to executive-level audiences.
Preferred Qualifications:
Master’s or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field.
Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Advanced knowledge of database systems (e.g., SQL, NoSQL) and cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Experience working in DoD or government contracting environments, with a strong understanding of DoD standards and policies.
Demonstrated ability to develop and implement innovative solutions to complex technical challenges.
Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
Proven track record of publishing research or contributing to the broader data science and mathematics community.
Concurrent Technologies Corporation
Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: N/A
Employee Background Check Required
As a Lead Data Science Engineer/Specialist, you will serve as a senior technical expert and strategic leader, driving the development and application of advanced data science and mathematical solutions to address mission-critical challenges for Department of Defense (DoD) clients. You will lead large-scale projects, provide thought leadership, and shape the direction of technical initiatives while mentoring teams and ensuring the delivery of innovative solutions. This role requires exceptional technical expertise, leadership skills, and the ability to influence organizational strategy.
Key Responsibilities:
Strategic Leadership and Project Oversight:
Lead the planning, execution, and delivery of large-scale, complex data science and mathematics projects, ensuring alignment with client objectives and organizational goals.
Define project strategies, establish priorities, and allocate resources effectively to meet deadlines and deliverables.
Serve as a trusted advisor to clients, providing strategic guidance and technical expertise to address their most pressing challenges.
Technical Expertise and Innovation:
Develop and implement cutting-edge data science methodologies, algorithms, and mathematical models to solve complex problems.
Drive innovation by researching and applying emerging technologies in artificial intelligence, machine learning, and advanced analytics.
Lead the development of scalable solutions for data processing, analysis, and modeling in operational environments.
Advanced Data Analysis and Modeling:
Oversee the design and implementation of advanced statistical, predictive, and machine learning models to support decision-making.
Conduct sophisticated exploratory data analysis (EDA) to uncover actionable insights and inform strategic decisions.
Develop and refine mathematical models for simulation, optimization, and forecasting tasks.
Tool and Technology Utilization:
Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
Lead the integration of data science workflows into enterprise systems and processes to enhance operational efficiency.
Oversee the use of data visualization tools (e.g., Tableau, Power BI, matplotlib) to communicate insights effectively to diverse audiences.
Collaboration and Communication:
Collaborate with senior leadership, multidisciplinary teams, and stakeholders to define technical strategies and project goals.
Prepare and deliver high-quality technical reports, presentations, and documentation for executive-level audiences.
Facilitate cross-functional collaboration and foster a culture of innovation and excellence within the organization.
Mentorship and Team Development:
Provide mentorship and guidance to junior and mid-level team members, fostering their technical and professional growth.
Build and lead high-performing teams, ensuring alignment with organizational goals and client needs.
Promote knowledge sharing and continuous learning within the team and organization.
Support for DoD Projects:
Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making.
Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients.
Ensure all deliverables comply with DoD standards, policies, and security requirements.
Required Qualifications:
Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
6+ years of relevant experience in data science, mathematics, or related fields.
Advanced proficiency in programming languages such as Python, R, MATLAB, or similar.
Strong expertise in statistical methods, machine learning techniques, and mathematical modeling.
Proven ability to lead large-scale projects, manage teams, and deliver high-quality results.
Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
Exceptional analytical, problem-solving, and critical-thinking skills.
Strong written and verbal communication skills, with experience presenting to executive-level audiences.
Preferred Qualifications:
Master’s or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field.
Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Advanced knowledge of database systems (e.g., SQL, NoSQL) and cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Experience working in DoD or government contracting environments, with a strong understanding of DoD standards and policies.
Demonstrated ability to develop and implement innovative solutions to complex technical challenges.
Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
Proven track record of publishing research or contributing to the broader data science and mathematics community.
Why CTC?
Our teams at CTC are passionate and thrive on collaboration in a team environment.
When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
Competitive salary and benefits package.
Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
Visit www.ctc.com to learn more!
Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
https://concurrent-technologies-corporation.breezy.hr/
Staffing Requisition: SR#2026-0134
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.”
Skills Required
- Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field
- 6+ years of relevant experience in data science, mathematics, or related fields
- Advanced proficiency in Python, R, MATLAB, or similar programming languages
- Strong expertise in statistical methods, machine learning techniques, and mathematical modeling
- Experience leading large-scale projects, managing teams, and delivering high-quality results
- Experience with data visualization tools and data engineering concepts
- Exceptional analytical, problem-solving, and critical-thinking skills
- Strong written and verbal communication skills, including executive-level presentations
- Master's or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field
- Extensive experience with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks
- Advanced knowledge of SQL, NoSQL, and cloud computing platforms such as AWS, Azure, or Google Cloud
- Experience in DoD or government contracting environments and knowledge of DoD standards and policies
- Experience with Hadoop, Spark, or distributed computing frameworks
- Track record of publishing research or contributing to the data science and mathematics community
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The Company
What We Do
Concurrent Technologies Corporation (CTC) is an independent, nonprofit, applied scientific research and development professional services organization that provides full lifecycle solutions to support national security and technological advantage.
