Data Scientist

Job Description

<p>Company Description</p><p>NextStars is a Canadian accelerator with a global vision, dedicated to empowering local and newcomer entrepreneurs to build innovative, climate-conscious businesses. Leveraging Canada as a launchpad, NextStars provides comprehensive tools, resources, mentorship, and investor connections to help startups define their purpose, secure funding, and scale their positive impact globally. With a mission to foster innovation and sustainability, NextStars focuses on creating a future powered by impactful solutions. The organization emphasizes trust, responsiveness, and lasting relationships to support entrepreneurs and ventures in achieving global success.</p><p>Role Description</p><p>This is a full-time remote role for a Data Scientist. The Data Scientist will analyze complex datasets to provide actionable insights, develop predictive models, and implement data-driven solutions. Duties include performing exploratory data analysis, creating data visualizations, and collaborating with cross-functional teams to support strategic decision-making. The role also requires ensuring data integrity, improving data pipelines, and communicating findings through comprehensive reports and presentations.</p><p>Qualifications</p><ul><li>Strong expertise in Data Science, with skills in building predictive models and machine learning techniques.</li><li>Proficiency in Statistics and Data Analysis for interpreting and drawing insights from complex datasets.</li><li>Experience in Data Analytics and Data Visualization tools such as Python, R, Tableau, or Power BI.</li><li>Ability to manage and work with large datasets effectively while ensuring data integrity and accuracy.</li><li>Strong problem-solving and analytical thinking skills.</li><li>Excellent communication and collaboration skills to work effectively in cross-functional teams.</li><li>Familiarity with climate-conscious industries or sustainability-focused initiatives is a plus.</li><li>Bachelor's or advanced degree in Data Science, Statistics, Computer Science, or a related field preferred.</li></ul>