Develop 2D and 3D image processing, computer vision, and measurement algorithms to support remote visual inspection systems
Lead and contribute to lower‑TRL technical development (TRL 3–6), including feasibility studies, algorithm prototyping, and performance characterization
Apply systems engineering principles to ensure algorithms integrate effectively into larger inspection systems and workflows
Work alongside software engineers to transition algorithms into deployable, production‑ready solutions
Perform exploratory, targeted, and validation data analysis using appropriate statistical and analytical methods
Collaborate with data and software engineers on data quality assessment, data preparation, and algorithm validation
Plan and manage your own technical tasks and project work, balancing multiple priorities with limited oversight
Generate technical documentation, reports, and annotated code to document development work and results
Communicate results, trade‑offs, and recommendations clearly to technical teams, product leadership, and customers
Engage directly with internal and external customers to understand use cases, constraints, and performance needs

Bachelor’s degree in Mathematics, Physics, Computer Science, Engineering, or a related STEM field (Master’s degree preferred)
5+ years of professional experience in data science, applied mathematics, image processing, or related technical roles
Demonstrated experience developing and validating algorithms intended for real‑world engineering systems
Strong fundamentals in applied mathematics, statistics, and algorithm development
Strong proficiency in one or more programming or analytical languages (e.g., Python, C++, MATLAB, R)
Experience with 2D/3D image processing, computer vision, or measurement algorithms
Demonstrated ability to work across research and applied engineering environments
Ability to translate ambiguous customer or system needs into clear technical approaches
Experience working across teams and disciplines in a product‑oriented environment
Awareness of data management, version control, and reproducible development practices
Awareness of real‑time or near‑real‑time analytics and algorithm deployment constraints
Familiarity with system‑level performance considerations (accuracy, latency, robustness)

Senior Data Scientist

Key skills