Senior Data Science Engineer/Specialist
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:
- 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.
Concurrent Technologies Corporation (CTC) is preparing to stand up a dedicated team to manage a new, high-priority initiative for the U
This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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