Lead Data Science Engineer Specialist – Data Scientist

Concurrent Technologies Corporation; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Concurrent Technologies Corporation seeks a Lead Data Science Engineer/Specialist to drive advanced data science and mathematical solutions for DoD clients. You will lead large, complex projects, shape technical direction, and mentor teams to deliver innovative results.

You will apply Python/R/MATLAB and cutting-edge ML methods, collaborate with executives, and ensure solutions meet security and policy standards in mission-critical environments.

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.

Responsibilities

• Lead planning, execution, and delivery of large-scale data science projects.
• Define project strategies, priorities, and resource allocation.
• Serve as trusted advisor, addressing client challenges with technical expertise.
• Develop and implement cutting-edge data science methodologies and models.
• Drive innovation with emerging AI/ML technologies.
• Lead scalable data processing, analysis, and modeling in operational environments.
• Oversee design and implementation of advanced statistical and ML models.
• Conduct exploratory data analysis to uncover actionable insights for decisions.
• Prepare technical reports and presentations for executive audiences.
• Mentor junior and mid-level team members and build high-performing teams.
• Ensure deliverables comply with DoD standards and security requirements.

Skills

Python

R

MATLAB

Statistical methods

Machine learning

Leadership

Data visualization

Communication

Education

Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering

Master’s or Ph.D. in Data Science, Mathematics, CS, Engineering

Tools

Tableau

Power BI

Matplotlib

SQL

NoSQL

TensorFlow

PyTorch

Scikit-learn

Job description

LEAD DATA SCIENCE ENGINEER/SPECIALIST – DATA SCIENTIST

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.

“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.”