As a Lead GNSS Data Scientist, you will play a pivotal role in driving innovation, building a modern technology stack, and product roadmap. You will work closely with the founding team to develop cutting-edge GNSS applications, analyse data, and build machine learning models. Your expertise in GNSS, data science, and machine learning will be critical to our success.
Responsibilities
Data
Design and implement scalable and efficient data pipelines.
Oversee data collection, preprocessing, and quality assurance.
MLAI
Develop and implement machine learning models for GNSS data analysis.
Conduct data analysis, feature engineering, and model development using machine learning techniques.
Assist in the delivery of high-quality technical solutions as part of the AI Engineering team.
Assist team members with code reviewing, change request, peer review and knowledge sharing.
Management
Liaise effectively with project team members, business stakeholders and external vendors to build strong partnerships to help create a collaborative, transparent, and high performing culture with a strong delivery mindset.
Collaborate with product managers and engineers to integrate GNSS insights into customer products.
Ensure appropriate and relevant governance structures, policies and processes are followed, and advocate for continuous improvement.
About you
Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Geomatics, or related field
Data
Experience working in complex enterprise Data Environments.
Proven experience in GNSS data processing.
Experience with geospatial data processing, GIS, and spatial databases.
Strong background in data science, statistical analysis, and machine learning.
Proficiency in Python, R, Matlab, or similar programming languages
Intermediate coding skills in Python, Jupyter, or similar
Proven Engineering experience in Big Data query languages and Data pipelines.
MLAI
2+ years’ experience designing and building advanced AI solutions at an enterprise scale.
Knowledge of common AI development, automation, and Machine Learning tools.
Management
Entrepreneurial mindset and willingness to take ownership.
Excellent communication and collaboration skills.
Strong interpersonal skills with proven ability to build and maintain strong relationships with multiple stakeholders.
Developed ability to collaborate and operate in a close team.
Excellent problem solving and conceptual/abstract thinking skills, coupled with business acumen.
Previous startup experience is a plus.
