Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation•Johnstown, PA

3d•Remote

About The Position

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. Concurrent Technologies Corporation (CTC) is preparing to stand up a dedicated team to manage a new, high-priority initiative for the U.S. Navy. This is a unique opportunity to help revitalize and strengthen a critical national security industrial base. As the manager of a large portfolio of innovative projects under a flexible contracting vehicle, CTC will be at the center of this mission. Our role will be to connect cutting-edge solutions from across industry and academia to the Navy's most pressing challenges, accelerating technology adoption and ensuring our nation's defense industrial base has the capacity and capability for decades to come. This is a fast-paced, dynamic program where you will play a foundational role in its success. We are seeking talented professionals to join us in this exciting and impactful work. As a Senior Data Science Engineer, you will transform vast streams of project data into actionable intelligence and strategic insights for government leadership. You will develop the dashboards, analytics, and reports that provide radical transparency into the performance and impact of this national security program.

Requirements

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.
Clearance Level Must Be Able to Obtain: Secret
Employee Background Check Required

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.
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.
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.