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Jobs · Information Technology · Pennsylvania

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation · Johnstown, PA · 6 days ago
Information TechnologyFull-time

About the role

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.

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.

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.

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