Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation is a leader in engineering and manufacturing solutions, specializing in advanced technologies. As a Senior Data Science Engineer/Specialist, you will lead projects and mentor junior staff while applying data science techniques to solve complex challenges for Department of Defense clients.

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

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
• 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