28799 - Data Scientist I X2

Title: Data Scientist I X2 Duration : 6 months, renewable Work Environment: Hybrid in Mississauga (prefers Tue & Thu ) Hours: Hours per week Description: We are seeking a highly skilled Data Scientist to join the team. The ideal candidate will have 1-2 years of experience in data engineering, model metrics, machine learning, and MLOps . The successful candidate will use 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. Familiarize and utilize end-to-end ML product to develop data science models. Perform exploratory data analysis to understand the data and develop hypotheses. Propose solutions and strategies to business challenges. Present findings to both technical and non-technical stakeholders. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 1-2 years of experience in data science or a related field. Experience with Python and its primary data science libraries, alongside essential SQL knowledge for database management. Proficiency in building and fine-tuning machine learning models. Deep understanding of model confidence measurements and where to utilize one model over the other. Robust understanding of various machine learning algorithms Strong skills in data preprocessing, data exploration, and feature engineering. Preferred Skills 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. Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice Vaco is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.