Senior Data Science Engineer/Specialist

Salary: $93,000 - 133,000 per year Requirements:

• We require a bachelors degree in data science, mathematics, computer science, engineering, or a closely related discipline.
• We require at least 4 years of relevant experience in data science, mathematics, or a similar field.
• We need advanced proficiency in programming languages such as Python, R, MATLAB, or comparable tools.
• We expect strong expertise in statistical methods, machine learning approaches, and mathematical modeling.
• We require experience with data visualization platforms such as Tableau, Power BI, or matplotlib, along with data engineering fundamentals.
• We look for a proven ability to lead projects, coordinate teams, and deliver high-quality outcomes.
• We require excellent analytical, problem-solving, and critical-thinking capabilities.
• We expect strong written and verbal communication skills, including experience presenting to both technical and non-technical audiences.
• We prefer a masters degree or Ph.D. in data science, mathematics, computer science, engineering, or a related field.
• We value extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• We prefer advanced knowledge of database technologies such as SQL and NoSQL, as well as cloud platforms like AWS, Azure, or Google Cloud.
• We value experience in DoD or government contracting environments and familiarity with DoD standards and policies.
• We prefer demonstrated success in developing innovative solutions to complex technical problems.
• We value experience with big data technologies such as Hadoop and Spark, along with distributed computing frameworks.

• We lead the planning, execution, and delivery of complex data science and mathematics initiatives aligned to client objectives and schedules.
• We provide technical direction and mentorship to junior and mid-level team members to support their professional development.
• We work with stakeholders to define project scope, requirements, and deliverables.
• We identify project risks, create mitigation plans, and help ensure successful completion.
• We design and implement advanced statistical, predictive, and machine learning models to solve complex client problems.
• We perform in-depth exploratory data analysis to uncover actionable insights and support decision-making.
• We develop and refine mathematical models for simulation, optimization, and forecasting.
• We lead the design, development, and tuning of algorithms for data processing, analysis, and modeling.
• We validate and deploy algorithms in operational settings with a focus on scalability and reliability.
• We research emerging techniques in data science, artificial intelligence, and mathematics to drive innovation.
• We use programming tools such as Python, R, and MATLAB to build tailored solutions.
• We apply data visualization tools to create clear, compelling, and actionable dashboards and insights.
• We integrate data science workflows into enterprise systems and business processes to improve efficiency.
• We serve as a key contact for clients, providing regular updates and ensuring satisfaction with deliverables.
• We prepare technical reports, presentations, and documentation for a broad range of audiences, including senior leaders.
• We facilitate collaboration across multidisciplinary teams to achieve project goals.
• We lead research efforts to evaluate new data science methods, tools, and technologies.
• We develop innovative frameworks and methodologies to address evolving client needs.
• We provide expert analysis and recommendations that support DoD mission objectives and strategic decisions.
• We develop and implement advanced tools, processes, and methods that strengthen operational capability for DoD clients.
• We ensure deliverables meet DoD standards, policies, and security requirements.
• We transform project data into actionable intelligence, dashboards, analytics, and reports that provide transparency into program performance and impact.

• 3D
• AWS
• Azure
• Big Data
• Cloud
• Hadoop
• Support
• Machine Learning
• Matlab
• NoSQL
• Power BI
• PyTorch
• Python
• SQL
• Security
• Spark
• Tableau
• TensorFlow
• Excel

More:

We are Concurrent Technologies Corporation, an engineering and manufacturing organization focused on turning advanced technologies into practical, mission-critical solutions. Our engineering division works with 3D printing, advanced joining methods such as friction stir welding, and modern design tools to solve complex challenges for diverse clients. We are building a dedicated team for a high-priority U.S. Navy initiative that will help strengthen the national security industrial base and accelerate the adoption of innovative solutions from industry and academia. This is a remote role with a fast-paced, high-impact environment, and we offer competitive compensation and benefits, strong career growth, educational opportunities, and a collaborative team of engineers and scientists committed to meaningful work.

last updated 33 week of 2026