
Senior Data Science Engineer/Specialist
Concurrent Technologies Corporation
Remote · USJobSeen 4 days agoSeen in employer's feed 4 days ago
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Job overview
The Senior Data Science Engineer/Specialist will lead data science and mathematics projects supporting Department of Defense clients and a high-priority U.S. Navy initiative. The role transforms project data into actionable intelligence through analytics, dashboards, and reports, while providing technical leadership, mentoring staff, and developing models and algorithms. The position also involves client collaboration, research, and ensuring deliverables meet applicable DoD standards and security requirements.
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Full job description
Senior Data Science Engineer/Specialist Concurrent Technologies Corporation Remote Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Secret Employee Background Check Required CTC Engineering and Manufacturing: Where Cutting-Edge Innovation Meets Mission-Critical Solutions The CTC Engineering Division specializes in transforming cutting-edge technologies into real-world solutions. We harness the power of 3D printing, advanced joining techniques like friction stir welding, and cutting-edge design tools to tackle complex challenges for a diverse set of clients. 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: 1. Lead the planning, execution, and delivery of complex data science and mathematics projects, ensuring alignment with client objectives and timelines. 2. Provide technical leadership and mentorship to junior and mid-level team members, fostering their professional growth. 3. Collaborate with stakeholders to define project requirements, scope, and deliverables. 4. Identify risks, develop mitigation strategies, and ensure the successful completion of projects. Advanced Data Analysis and Modeling: 1. Design and implement advanced statistical, predictive, and machine learning models to address complex client challenges. 2. Perform sophisticated exploratory data analysis (EDA) to identify actionable insights and inform decision-making. 3. Develop and refine mathematical models for simulation, optimization, and forecasting tasks. Algorithm Development and Innovation: 1. Lead the design, development, and optimization of algorithms for data processing, analysis, and modeling. 2. Validate and deploy algorithms in operational environments, ensuring scalability and reliability. 3. Drive innovation by researching and applying cutting-edge techniques in data science, artificial intelligence, and mathematics. Tool and Technology Utilization: 1. Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions. 2. Leverage data visualization tools (e.g., Tableau, Power BI, matplotlib) to create compelling and actionable insights. 3. Integrate data science workflows into enterprise systems and processes to enhance operational efficiency. Collaboration and Communication: 1. Serve as a primary point of contact for clients, providing regular updates and ensuring satisfaction with deliverables. 2. Prepare and deliver high-quality technical reports, presentations, and documentation for diverse audiences, including senior leadership. 3. Facilitate cross-functional collaboration with multidisciplinary teams to achieve project goals. Research and Development: 1. Lead research initiatives to explore emerging data science techniques, tools, and technologies. 2. Develop innovative methodologies and frameworks to address evolving client needs. 3. Publish findings and contribute to the broader data science and mathematics community. Support for DoD Projects: 1. Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making. 2. Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients. 3. Ensure all deliverables comply with DoD standards, policies, and security requirements. Concurrent T chnologies 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. Required Qualifications: 1. Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field. 2. 4+ years of relevant experience in data science, mathematics, or related fields. 3. Advanced proficiency in programming languages such as Python, R, MATLAB, or similar. 4. Strong expertise in statistical methods, machine learning techniques, and mathematical modeling. 5. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts. 6. Proven ability to lead projects, manage teams, and deliver high-quality results. 7. Excellent analytical, problem-solving, and critical-thinking skills. 8. Strong written and verbal communication skills, with experience presenting to technical and non-technical 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.
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