Our client, a leader in cutting-edge technology solutions, is seeking enthusiastic and bright Graduate Data Scientists to join their innovative team in a fully remote capacity. This is an exceptional entry-level opportunity for individuals passionate about leveraging data to drive insights and build intelligent systems. You will work alongside experienced data scientists and engineers on challenging projects, applying advanced statistical techniques and machine learning algorithms to solve complex business problems. Your responsibilities will include data cleaning, preprocessing, feature engineering, model development, validation, and deployment. You will gain hands-on experience with large datasets, explore data patterns, and contribute to the development of predictive models and data-driven products. The ideal candidate will possess a strong academic background in a quantitative field, excellent programming skills, and a genuine curiosity for data exploration and analysis. This role emphasizes continuous learning and professional development within a supportive, remote-first environment. You will have the opportunity to contribute to projects across various domains, gaining exposure to a wide range of data science applications. Collaboration and effective communication are key, as you will be an integral part of a distributed team working towards common goals. Responsibilities:
Assisting in the collection, cleaning, and preprocessing of large, complex datasets. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing, training, and evaluating machine learning models for predictive and prescriptive analytics. Implementing data visualization techniques to communicate findings effectively. Collaborating with senior data scientists to refine models and algorithms. Contributing to the development and deployment of data-driven solutions. Documenting methodologies, code, and results thoroughly. Participating in team meetings and knowledge-sharing sessions. Staying current with advancements in data science, machine learning, and artificial intelligence. Applying statistical knowledge to interpret data and provide actionable insights. Writing efficient and well-structured code in languages like Python or R. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is required. Strong programming skills in Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) are essential. A solid understanding of statistical concepts and machine learning algorithms is expected. Excellent analytical, problem-solving, and communication skills are necessary. Previous internship or project experience in data science is a plus. This fully remote position is conceptually based in **Ottawa, Ontario, CA**.
