Senior Data Scientist - Digital Solutions Company at Groom Associes
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

07 Sep, 25

Salary

0.0

Posted On

08 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Journals, Ml, Artificial Intelligence, Nlp, Programming Languages, Computer Science

Industry

Information Technology/IT

Description

Senior Data Scientist – Solutions Company
At this company, we are dedicated to delivering cutting-edge digital solutions across various industries, including maritime, manufacturing, and transportation. By working closely with our customers, we develop tailored AI-driven solutions that enhance operational efficiency, quality, and safety. Our commitment to digital transformation empowers businesses to seize new opportunities and optimize their operations.
The team leading and backing this company, are former members of one of the largest private AI Labs in Europe. Recently their North American branch was acquired by a big name. Some of their most talented members have embarked on a new journey with this company. The great thing is that there is already have a roster of exciting projects and interesting clients based on the work done with the previous company.
We are seeking a talented AI Scientist to join our team of experts and lead the development of innovative AI models and algorithms. In this role, you will have the opportunity to design, implement, and optimize AI solutions that address complex business challenges and drive strategic value. You will collaborate closely with data engineers, software developers, and business stakeholders to ensure the successful deployment of AI technologies.
Title: Senior Data Scientist
Location: Fully remote
Type of position: Full time, permanent
Salary: Open to discuss + benefits + 4 weeks’ vacation + 5% RRSP
Start date: start of 2025

Responsibilities:

  • Conduct research and develop advanced AI models and algorithms to solve real-world problems.
  • Collaborate with data engineers to ensure high-quality data preparation and pipeline integration for AI solutions.
  • Prototype and evaluate machine learning models and stay updated with the latest AI research and trends.
  • Work directly with business stakeholders to understand requirements and translate them into AI-driven solutions.
  • Communicate findings effectively to both technical and non-technical audiences through reports and presentations.
  • Document and maintain AI methodologies and frameworks for reproducibility and scalability.

Minimum Qualifications:

  • Master’s degree in Computer Science, AI, Machine Learning, or a related technical field.
  • Strong foundation in machine learning, artificial intelligence, and data science concepts.
  • Proficiency in programming languages commonly used in AI development (e.g., Python).
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Proven track record of solving complex problems using AI techniques.

Preferred Qualifications:

  • Ph.D. in a relevant field.
  • Experience with cloud-based AI platforms and services (e.g., AWS SageMaker, Google AI Platform).
  • Experience with ML, NLP and computer vision techniques in R&D and production settings.
  • Publication record in reputed AI conferences or journals.
  • Excellent communication and collaboration skills.

Logistics:

  • Role is fully remote.
  • Must be available for meetings in US West time zone.
Responsibilities
  • Conduct research and develop advanced AI models and algorithms to solve real-world problems.
  • Collaborate with data engineers to ensure high-quality data preparation and pipeline integration for AI solutions.
  • Prototype and evaluate machine learning models and stay updated with the latest AI research and trends.
  • Work directly with business stakeholders to understand requirements and translate them into AI-driven solutions.
  • Communicate findings effectively to both technical and non-technical audiences through reports and presentations.
  • Document and maintain AI methodologies and frameworks for reproducibility and scalability
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