Lead GNSS Data Scientist
Melbourne
Full Time Part Time Mid-level / Intermediate USD 70K - 120K
Lead GNSS Data Scientist
About us
We are an early-stage startup at the forefront of GNSS technology, data science and AIML. We are connecting data from sensor networks to a Digital Earth and delivering real-world impact from high-accuracy positioning of autonomous platforms to climate and geohazard monitoring.
About the role
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.
Why join?
- Opportunity to shape the future of GNSS technology and data-driven solutions.
- Equity ownership and significant influence on company direction.
- Work with a passionate and talented team.
- Competitive compensation package.
- Flexible work arrangements.
If you are excited about the intersection of GNSS, data science, and machine learning, and want to be part of a dynamic startup, we’d love to hear from you! To apply, reach out to us with a cover letter, CV at info@lurra.io.
Tags: Big Data Computer Science Data analysis Data pipelines Engineering Feature engineering GNSS Jupyter Machine Learning Matlab ML models Pipelines Python R Statistics
Perks/benefits: Career development Competitive pay Equity Flex hours Startup environment
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