Data Scientist (Remote, Canada)

May 24, 2024

What We Do

Global Spatial Technology Solutions (GSTS) is a leading-edge Artificial Intelligence company developing solutions for the maritime sector. Our solutions allow for real time decision-making intelligence to save lives, energy, and the environment.

GSTS seeks exceptional talent to support recently awarded contracts, ongoing projects and product development, and company growth. We seek individuals with drive, initiative, and motivation to join our team and make the world a safer, greener place for all. Learn more about our organization at www.gsts.ca 

Key Responsibilities

As part of the Data Science Team you will:

  • Solve problems in the maritime sector combining novel models and AI with vessel location data and environmental data.
  • Employ statistical techniques and advanced data analysis methods, including artificial intelligence methodologies, to interpret data effectively
  • Create models and perform testing and validation
  • Collaborate with cross-functional teams to develop and implement data/model strategies tailored to specific project requirements
  • Create reports to share your findings and recommendations with the internal team and other stakeholders

Experience and Qualifications

  • Degree in Engineering, Physics, Geomatics, Data Science or a related field (Master’s preferred)
  • 2+ years of experience developing, implementing, and evaluating machine learning models and/or data analytics solutions
  • 2+ years of experience working with geospatial data, graph data, and relational databases
  • 2+ years of experience writing production-ready code for data-intensive computation and analysis using python
  • Strong SQL skills
  • Strong familiarity with python data science libraries
  • Strong familiarity with python geospatial libraries
  • Strong written and verbal communication skills
  • Able to work and learn autonomously, take direction from leads, and actively contribute to help improve technical and organizational processes
  • Strong attention to detail including clear, concise and thorough documentation skills
  • Ability to listen and develop a deep understanding of project, product and client requirements
  • Demonstrated ability to work well in a multi-disciplinary team environment

Beneficial Experience and Qualifications

  • Experience working with real-time data and model/frameworks (e.g., Flink, Spark)
  • Experience deploying models with AWS cloud infrastructure
  • Experience in maritime and/or ocean technology sector

Comments/Special Considerations

Candidates must pass a criminal background check and be able to obtain Controlled Goods clearance.

Work can be done remotely in Canada, if located in the Halifax area a hybrid working environment is available to employees.

Why Work For Us? 

GSTS is an exciting company developing solutions using the latest in Artificial Intelligence, machine learning, and various other cutting-edge technologies, striving to make a real-world difference.

We are committed to creating a sense of belonging amongst our team. We have placed an emphasis on fostering a diverse, collaborative and inclusive working environment. We welcome applications from qualified candidates irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

GSTS offers a competitive salary and benefits package, if you think this challenge is right for you, we encourage you to apply, forwarding your cover letter, current resume and contact information to careers@gsts.ca.

We thank all candidates that apply, but only those selected for an interview will be contacted.

Together We Can Make An Impact

We are committed to treating all employees and applicants for employment with respect and dignity. If you require assistance and/or reasonable accommodation during the application or the recruiting process, please feel free to notify us at careers@gsts.ca. 

Don’t see a position that fits your skills? Apply Anyway!

Join us in what will be a rewarding career journey. To apply, simply fill out the form below and attach your resume and cover letter.