Embark on an exciting journey as a Junior Data Scientist in a hybrid workspace, working three days onsite weekly, including Thursdays. Your Python skills and knowledge of machine learning will be pivotal in this role. This position requires a bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, along with 0–3 years of experience, encompassing internships or academic projects.

Ideal candidates will excel in Python programming and possess a solid understanding of machine learning concepts as well as SQL for data manipulation. Key Responsibilities:
Analyze data using Python programming techniques
Apply supervised and unsupervised machine learning algorithms
Extract and manipulate data using SQL
Evaluate models and statistical methods for accuracy
Communicate analytical findings effectively Requirements:
Bachelor’s degree in relevant field required
0–3 years of experience in data analysis
Robust skills in Python and SQL
Understanding of machine learning principles
Familiarity with data science libraries essential Your role will greatly impact data-driven decisions through your analytical skills and machine learning expertise.

📌 Hybrid Junior Data Scientist Role Toronto
🏢 Bevertec
📍 Toronto