<p>Robert Half is looking for a versatile and innovative <strong>Data Scientist</strong> to join our client's team, with a strong focus on behavioral analytics, machine learning, and natural language processing. This role is ideal for someone passionate about uncovering insights from structured and unstructured data, and who can translate complex findings into impactful business strategies.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement <strong>machine learning</strong> and <strong>NLP models</strong> to extract insights from structured and unstructured data sources, including survey responses and customer feedback.</li><li>Conduct <strong>behavioral analytics</strong> to understand user patterns, preferences, and engagement across digital platforms.</li><li>Perform <strong>data wrangling</strong> and preprocessing using <strong>Python</strong> and <strong>SQL</strong>, integrating data from databases, APIs, and <strong>Qualtrics</strong>.</li><li>Build and maintain <strong>interactive dashboards</strong> and <strong>data visualizations</strong> using tools like Tableau, Power BI, or Python libraries (e.g., Plotly, Seaborn).</li><li>Analyze and interpret <strong>survey data</strong> from Qualtrics to support strategic decision-making.</li><li>Collaborate with cross-functional teams to embed data science solutions into business processes.</li><li>Communicate findings clearly to technical and non-technical stakeholders through presentations and reports.</li></ul><p><br></p><p><br></p>
We are looking for a skilled Data Scientist to join our team in Guelph, Ontario. In this role, you will design and optimize systems to manage and analyze data, enabling data-driven decision-making. You will collaborate with stakeholders to create actionable insights and ensure the accuracy and accessibility of data resources.<br><br>Responsibilities:<br>• Design, maintain, and troubleshoot systems and databases to support efficient reporting and data analysis.<br>• Develop clear documentation of processes to allow stakeholders to replicate and understand data workflows.<br>• Apply data mining, statistical modelling, and other analytical techniques to create innovative datasets and solutions.<br>• Manage a centralized repository of reports and analyses, ensuring they are accurate and easily accessible.<br>• Perform exploratory data analysis to identify trends, anomalies, and relationships within datasets.<br>• Build and maintain data pipelines to aggregate and integrate information from various sources, ensuring consistency.<br>• Offer technical support and expertise to internal and external stakeholders for data management and analysis tasks.<br>• Collaborate with teams to ensure data visualization tools effectively communicate insights to non-technical audiences.
