Data Scientist - Logistics Company

Groom & Associés / Associates; Waterloo; On-site; CAD 130,000 - 140,000; Full time

Job summary

A leading company in IoT and connected transportation is seeking a Data Scientist to enhance solutions in the telematics industry. The role involves developing generative AI models, collaborating with teams, and analyzing telematics data. Candidates should have a strong background in data science, machine learning, and programming, with a focus on innovative product development.

Qualifications

• 3-5 years of experience in Data Scientist or similar role.
• Experience with transformer models such as BERT and GPT.
• Familiarity with prompt engineering for AI models.

Responsibilities

• Develop and refine generative AI models using machine learning techniques.
• Collaborate with teams to integrate AI solutions into telematics platforms.
• Document research and methodologies for model design.

Skills

Data Analysis

Machine Learning

Python

SQL

Collaboration

Attention to Detail

Education

Bachelors Degree in Data Science

Bachelors Degree in Mathematics

Bachelors Degree in Computer Science

Bachelors Degree in Statistics

Tools

Google BigQuery

GCP

Azure

AWS

PyTorch

TensorFlow

Job description

1 day ago Be among the first 25 applicants

This range is provided by Groom & Associés / Associates. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$130,000.00/yr - CA$140,000.00/yr

This company is a global leader in IoT and connected transportation. The company is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. The company’s open platform and Marketplace, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, this company leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Backed by a team of industry leading data scientists, engineers and AI experts, we serve over 50,000 customers across 160 countries, processing billions of data points hourly from more than 4 million vehicles. Data security and privacy are at the forefront of all we do—trusted by Fortune 500 organizations and some of the largest public sector fleets in the world, we meet top cybersecurity standards. The company’s open platform and diverse Marketplace offers hundreds of fleet-ready third-party solutions.

Role:

The Generative AI Data Scientist focuses on utilizing data science techniques to develop and enhance solutions within the telematics industry. In collaboration with other Data Scientists on the team, this role will be responsible for implementing and refining Gen AI models, analyzing telematics data to derive insights, and supporting the development of innovative products and services. Key responsibilities include leveraging Gen AI techniques, collaborating with cross-functional teams to optimize models, and contributing to the continuous improvement of model performance through testing and iteration.

Title: Data Scientist

Location: 3 offices in Ontario, and Atlanta, Georgia is also possible

Type of position: Full time, permanent

Key Responsibilities:

• Assist and implement Generative AI solutions tailored to telematics applications, with guidance from senior team members.
• Develop and refine generative AI models using established machine learning and deep learning techniques.
• Assist in implementing LLM-powered solutions, employing techniques like prompt engineering and Retrieval Augmented Generation (RAG)-based systems.
• Analyze experimental results to evaluate the effectiveness and accuracy of Generative AI algorithms, providing insights for optimization.
• Contribute to the development of evaluation systems to assess model output quality and product experience.
• Work with software developers, AI engineers to integrate generative AI solutions into telematics platforms.
• Participate in cross-departmental projects, contributing as a data science expert under the direction of senior team members.
• Document research, methodologies, model design, and experimental results to maintain comprehensive records.
• Stay informed on industry trends and advancements in generative AI and prompt engineering, applying best practices to development cycles.
• Implement statistical or mathematical methodologies for data analysis models, following established practices.
• Develop algorithms and predictive models to solve business problems, with oversight from senior staff.
• Conduct A/B tests or other experimental approaches to identify root causes of issues, reporting findings to senior data scientists.
• Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
• Collaborate with cross-functional teams to integrate AI technologies into platforms, contributing to personalized user experiences.

Desired qualifications

• Bachelors Degree in Data Science, Mathematics, Computer Science, Statistics, or related field.
• 3-5 years of previous experience in Data Scientist or similar role.
• 3-5 years of experience with writing SQL queries, programming in Python.
• Experience with transformer models such as BERT and GPT, and pre-LLM NLP models like word2vec or GloVe.
• Experience with OpenAI's and VertexAI frameworks and APIs
• Experience in contributing to generative AI projects, including model fine-tuning and basic model adjustments for specific applications.
• Familiarity with prompt engineering for both closed-source (e.g., GPT) and open-source models.
• Proficiency in deploying models using cloud services (e.g., GCP, Azure, AWS) with a focus on scalability.
• Basic knowledge of data management practices, including building datasets and evaluating model performance.
• Understanding of AI frameworks and libraries such as PyTorch and TensorFlow, with an emphasis on practical application.
• Solid grasp of machine learning principles, statistical analysis, and predictive modeling.
• Awareness of ethical considerations in Generative AI, including data privacy and bias detection.
• Strong communication skills for collaboration within teams and with stakeholders.
• Attention to detail and analytical thinking to support decision-making processes.
• Team-oriented mindset with the ability to collaborate effectively across different levels of the organization.
• Willingness to stay updated on new technologies and adapt to evolving market demands.
• HR Interview
• Take-home assement testing SQL skills as well as Data Science topics
• 1 hour technical interview with Lead and other member of team.
• Decision

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  IT System Data Services, Transportation, Logistics, Supply Chain and Storage, and Data Infrastructure and Analytics

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