Data Scientist jobs in United States

Our leading retail client is looking for 3 Data Scientist to join their team on a 5 month term with high chance for extension. This is a hybrid role reporting to their Mississauga office.

The ideal candidate will have 4-6 years of experience in data engineering, model metrics, machine learning, and MLOps. The successful candidate will leverage their skills to derive attribution to help optimize pricing strategies. This is an end-to-end Data Scientist role where the candidate will be responsible for project execution from requirements gathering to production. Responsibilities :

• Collect, clean, and transform data from diverse sources to be used for training or evaluation datasets.
• Develop, validate, and implement predictive models and machine learning algorithms.
• Utilize end-to-end ML products to develop data science models.
• Perform exploratory data analysis to understand the data and develop hypotheses.
• Triage and diagnose poorly performing models.
• Propose and implement solutions to meet model performance metrics.
• Suggest evidence-based strategies to improve existing development and business challenges.
• Present findings to both technical and non-technical stakeholders.

Must Have :

• Master’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 4-6 years of experience in data science or a related field.
• Proficiency in Python and its primary data science libraries, along with essential SQL knowledge for database management.
• Experience in building and fine-tuning machine learning models.
• Robust understanding of various machine learning algorithms and their mathematical foundations.
• Deep understanding of model confidence measurements and the ability to select appropriate models for specific tasks.
• In-depth knowledge of state-of-the-art transformer models for different tasks.
• Strong skills in data preprocessing, data exploration, and feature engineering.

Nice to Have :

• Experience with sequence classification, named entity recognition, image classification, and object detection models.
• Proficiency with cloud services, specifically Vertex AI and BigQuery (GCP).
• Strong problem-solving skills with an emphasis on product development.
• Excellent written and verbal communication skills.
• Experience with regular expressions is an asset.