Data Science Specialist

Overview

Artech L.L.C. is seeking a skilled Data Science Specialist to join their team in Mississauga, Ontario in a hybrid work setting. This role focuses on transforming complex data into practical insights and advancing AI, machine learning, and generative AI projects that foster tangible business benefits.

Key Responsibilities

• Analyze extensive datasets, both structured and unstructured, to detect trends, patterns, and business insights.
• Conduct data cleansing, transformation, and feature engineering to facilitate advanced analytics and machine learning models.
• Design, test, and maintain predictive and prescriptive models using statistical and machine learning methods.
• Collaborate with technology teams to implement analytical solutions and machine learning models in production environments.
• Manage the full machine learning lifecycle involving model development, training, testing, monitoring, validation, and performance assessment.
• Work with business, technology, and risk stakeholders to convert complex challenges into data-based solutions.
• Document methodologies, assumptions, and outcomes to support oversight and review processes.
• Effectively communicate analytical findings and project progress to both technical and non-technical audiences.
• Keep abreast of emerging technologies such as machine learning, deep learning, large language models, and generative AI.

Qualifications

• Bachelor’s or master’s degree in computer science, data science, statistics, mathematics, engineering, or another related quantitative discipline.
• At least 5 years of experience in data science, machine learning, advanced analytics, or related fields.
• Proven experience in creating, validating, and evaluating machine learning models.
• Strong grasp of machine learning and deep learning methodologies and best practices for model development.
• Proficiency with programming languages and frameworks such as Python, SQL, Spark, PySpark, and TensorFlow.
• Knowledge of large language models and generative AI technologies.
• Excellent analytical reasoning, problem-solving abilities, and communication skills.
• Capable of working independently and collaborating effectively with multidisciplinary teams.