高级数据科学工程师/专员
Senior Data Science Engineer/Specialist
高级数据科学工程师/专家
Concurrent Technologies Corporation
远程办公
最低所需安全许可:无
必须能够获得的安全级别:机密
需要员工背景调查
CTC工程与制造:尖端创新与关键任务解决方案的结合
CTC工程部门专注于将尖端技术转化为实际解决方案。我们利用3D打印、摩擦搅拌焊接等先进连接技术以及尖端设计工具,为多样化的客户提供复杂问题的解决方案。
作为高级数据科学工程师/专家,您将担任技术领导者,应用先进的数据科学和数学技术,解决国防部(DoD)客户的复杂且关键的任务挑战。您将领导项目,指导初级员工,并推动创新解决方案的开发,以提高决策能力和运营效率。此职位需要高度的技术专长、战略思维以及在管理多个优先事项的同时独立工作的能力。
主要职责:
技术领导与项目管理:
- 领导复杂的数据科学和数学项目的规划、执行和交付,确保与客户目标和时间表一致。
- 为初级和中级团队成员提供技术领导和指导,促进他们的职业成长。
- 与利益相关者合作,定义项目需求、范围和交付成果。
- 识别风险,制定缓解策略,确保项目的成功完成。
高级数据分析与建模:
- 设计并实现先进的统计、预测和机器学习模型,以解决复杂客户问题。
- 进行复杂的探索性数据分析(EDA),以识别可操作的见解并支持决策。
- 开发和优化用于模拟、优化和预测任务的数学模型。
算法开发与创新:
- 领导数据处理、分析和建模算法的设计、开发和优化。
- 在操作环境中验证和部署算法,确保其可扩展性和可靠性。
- 通过研究和应用数据科学、人工智能和数学领域的前沿技术,推动创新。
工具与技术使用:
- 利用Python等高级编程技能
查看英文原文
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.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:
- 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.
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.
- Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
Work Environment/Conditions:
- Determined by management if applicable.
Why CTC?
- Mastering the future of manufacturing: Be at the forefront of technological advancements in advanced manufacturing.
- Innovate for impact: Your work will push the boundaries of what's possible, from next-generation armaments to groundbreaking environmental solutions that directly impact critical missions and the lives of those protecting our country.
- Work alongside the best: Collaborate with a passionate team of engineers and scientists, united by a shared drive to excel and a commitment to delivering outstanding results.
- Leave your mark: CTC is more than just a job. It's a launchpad for your engineering dreams.
- Competitive salary and benefits package.
- Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
- Visit to learn more.
Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
Staffing Requisition: SR# 2026-0076
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.”
Originally posted on Himalayas