Junior Data Scientist
Responsibilities:
• Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
• Develop, implement, and optimize machine learning models for predictive analytics, automation, and decision-making.
• Collaborate with cross-functional teams to understand client requirements and translate them into data-driven solutions.
• Design and conduct experiments to evaluate and improve data models and algorithms.
• Communicate findings and insights clearly through reports, visualizations, and presentations for both technical and non-technical stakeholders.
• Contribute to the development of data pipelines and infrastructure to support large-scale data analysis and machine learning operations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field. PhD is a plus.
• Strong experience in programming languages such as Python, R, or Java, and proficiency in data manipulation libraries (e.g., pandas, NumPy).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
• Strong SQL skills and experience with relational databases and big data technologies (e.g., Hadoop, Spark).
• Excellent problem-solving skills and the ability to think critically and independently.
• Strong communication skills with the ability to convey complex data insights to non-technical audiences.
• Ability to work effectively both independently and in a collaborative team environment.
How to Apply
If you're interested in joining our team, please send your resume and a brief cover letter to talent@prosyntaxconsulting.ca with the subject line "Job Application - [Your Name] - [Position]".
We look forward to hearing from you!