Senior Data Science Engineer/Specialist

Role Description

As a Senior Data Science Engineer/Specialist, you will serve as a technical leader, applying advanced data science and mathematical techniques to solve complex and mission-critical challenges for Department of Defense (DoD) clients. You will lead projects, mentor junior staff, and drive the development of innovative solutions that enhance decision-making and operational efficiency. This role requires a high degree of technical expertise, strategic thinking, and the ability to work independently while managing multiple priorities.

Key Responsibilities:

• Technical Leadership and Project Management:
  • Lead the planning, execution, and delivery of complex data science and mathematics projects, ensuring alignment with client objectives and timelines.
  • Provide technical leadership and mentorship to junior and mid-level team members, fostering their professional growth.
  • Collaborate with stakeholders to define project requirements, scope, and deliverables.
  • Identify risks, develop mitigation strategies, and ensure the successful completion of projects.
• Advanced Data Analysis and Modeling:
  • Design and implement advanced statistical, predictive, and machine learning models to address complex client challenges.
  • Perform sophisticated exploratory data analysis (EDA) to identify actionable insights and inform decision-making.
  • Develop and refine mathematical models for simulation, optimization, and forecasting tasks.
• Algorithm Development and Innovation:
  • Lead the design, development, and optimization of algorithms for data processing, analysis, and modeling.
  • Validate and deploy algorithms in operational environments, ensuring scalability and reliability.
  • Drive innovation by researching and applying cutting-edge techniques in data science, artificial intelligence, and mathematics.
• Tool and Technology Utilization:
  • Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
  • Leverage data visualization tools (e.g., Tableau, Power BI, matplotlib) to create compelling and actionable insights.
  • Integrate data science workflows into enterprise systems and processes to enhance operational efficiency.
• Collaboration and Communication:
  • Serve as a primary point of contact for clients, providing regular updates and ensuring satisfaction with deliverables.
  • Prepare and deliver high-quality technical reports, presentations, and documentation for diverse audiences, including senior leadership.
  • Facilitate cross-functional collaboration with multidisciplinary teams to achieve project goals.
• Research and Development:
  • Lead research initiatives to explore emerging data science techniques, tools, and technologies.
  • Develop innovative methodologies and frameworks to address evolving client needs.
  • Publish findings and contribute to the broader data science and mathematics community.
• 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.

Qualifications

• Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
• 4+ 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.
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
• Proven ability to lead projects, manage teams, and deliver high-quality results.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills, with experience presenting to technical and non-technical audiences.

Requirements

• 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.

Benefits

• 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.
• Exceptional career growth, cutting-edge technology, educational opportunities, and recognition for quality work.