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