/bensadoun-school/taxonomy/term/798/all en /bensadoun-school/channels/news/meet-winning-teams-our-retail-gen-ai-hackathon-360295 <p>Congratulations to our winning teams of the Bensadoun School鈥檚 2<sup>nd</sup> annual <strong>Retail Gen AI Hackathon</strong>.</p> <p>We had 38 student teams register representing diverse faculties across 黑料不打烊 University. Over two days, 10 finalist teams hacked creative Gen AI solutions for our title sponsor ALDO Group.</p> <p>Each team had an AWS mentor and access to support from IVADO Labs and <a href="/bensadoun-school/data-sphere-lab">DataSphere Lab</a> team members.</p> Thu, 10 Oct 2024 14:45:28 +0000 julie.lapalme@affiliate.mcgill.ca 604847 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams/strategic-planning-effective-grant-acquisition <p></p><div class="media-youtube-video media-element file-default media-youtube-1"></div> Mon, 07 Oct 2024 20:46:32 +0000 julie.lapalme@affiliate.mcgill.ca 604842 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams/hands-learning-and-creating-impact <p></p><div class="media-youtube-video media-element file-default media-youtube-3"></div> Mon, 07 Oct 2024 20:42:00 +0000 julie.lapalme@affiliate.mcgill.ca 604841 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams <h2><em>To bring our vision to life, we鈥檝e organized our operations into four specialized teams.</em></h2> <ul> <li><a href="#marketing">Marketing & Knowledge Dissemination</a></li> <li><a href="#tech">Technology</a></li> <li><a href="#client">Client Project</a></li> <li><a href="#partnerships">Partnerships & Funding</a><br /> 聽</li> </ul> <hr /> <h3><a name="marketing"></a>Marketing & Knowledge Dissemination Team</h3> <p>This team ensures our insights reach the right audiences, driving growth through content, communication, and thought leadership.</p> <div class="three-column-1"> <p><img alt="Khushi Toprani" title="Khushi Toprani" height="600" width="400" style="width: 160px; height: 240px;" class="media-element file-original " src="/bensadoun-school/files/bensadoun-school/khushi-toprani-400x600_0.jpg" /></p> <h3><a href="/bensadoun-school/data-sphere-lab/our-team/testimonial-khushi">Khushi Toprani</a></h3> <p><strong>Content Developer</strong><br /> BCom Program, Desautels Faculty of Management</p> </div> <div class="three-column-2"> <p><img alt="Janice Ji" title="Janice Ji" height="600" width="400" style="width: 160px; height: 240px;" class="media-element file-original " src="/bensadoun-school/files/bensadoun-school/janice-ji-400x600_0.jpg" /></p> <h3><a href="/bensadoun-school/data-sphere-lab/services/students/datasphere-lab-jobs-students/testimonial-janice">Janice Ji</a></h3> <p><strong>Content Developer</strong><br /> Master of Management in Retailing, Desautels Faculty of Management</p> </div> <div class="three-column-3"> <p><img alt="Doria Khouri" title="Doria Khouri" height="600" width="400" style="width: 160px; height: 240px;" class="media-element file-original " src="/bensadoun-school/files/bensadoun-school/doria-khouri-400x600_0.jpg" /></p> <h3><a href="/bensadoun-school/data-sphere-lab/our-team/testimonial-doria">Doria Khouri</a></h3> <p><strong>Content Developer</strong><br /> BCom Program, Desautels Faculty of Management</p> </div> <p> Mon, 07 Oct 2024 17:00:24 +0000 julie.lapalme@affiliate.mcgill.ca 604836 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams/business-development-datasphere-lab <h2><img alt="Desautels Faculty of Management, 黑料不打烊 University" title="Desautels Faculty of Management, 黑料不打烊 " height="200" width="300" style="width: 250px; float: right; height: 167px;" class="media-element file-original rt" src="/bensadoun-school/files/bensadoun-school/logo-desautels-300x200.png" />Shahrukh Shahrukh</h2> <p><strong>Current Role: </strong>Business Development Consultant</p> <p><strong>Current Degree:</strong> Strategy & Consulting, MBA Program, Y1, Desautels Faculty of Management, 黑料不打烊 University</p> Mon, 07 Oct 2024 18:55:17 +0000 julie.lapalme@affiliate.mcgill.ca 604838 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams/business-development-industrial-b2b-sales <h2><img alt="Desautels Faculty of Management, 黑料不打烊 University" title="Desautels Faculty of Management, 黑料不打烊 " height="200" width="300" style="width: 250px; float: right; height: 167px;" class="media-element file-original rt" src="/bensadoun-school/files/bensadoun-school/logo-desautels-300x200.png" />Julian Waingortin</h2> <p><strong>Current Role: </strong>Business Development Consultant</p> <p><strong>Professional Position:</strong> Business Development Manager</p> Mon, 07 Oct 2024 18:51:47 +0000 julie.lapalme@affiliate.mcgill.ca 604837 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams/quantitative-finance-data-science-risk-analytics-business-intelligence <h2><img alt="Desautels Faculty of Management, 黑料不打烊 University" title="Desautels Faculty of Management, 黑料不打烊 " height="200" width="300" style="width: 250px; height: 167px; float: right;" class="media-element file-original rt" src="/bensadoun-school/files/bensadoun-school/logo-desautels-300x200.png" />Jonathan Guzzo</h2> Tue, 27 Aug 2024 16:45:29 +0000 julie.lapalme@affiliate.mcgill.ca 604759 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/community/databank/high-level-infrastructure <h2>High level infrastructure</h2> <p>The DataBank's architecture is designed to aggregate a rich and diverse collection of data sources and datasets from various providers, first cataloged by data analysts. Leveraging the power of Microsoft Azure and Azure Data Factory, the DataBank seamlessly ingests and extracts data from thousands of publicly available repositories.</p> <p>Data is sourced in multiple formats, including structured data like CSV, JSON, SQL databases, APIs, and Parquet files, as well as unstructured data such as PDF documents. These diverse data types are processed through connectors into Azure Data Factory. Once data is processed, it is stored in Azure Storage with a tiered structure signifying its processing stage.</p> <h4>Data stored in the DataBank are classified into three stages:</h4> <hr /> <div class="three-column-1"> <h5>Bronze</h5> <p>Raw data</p> </div> <div class="three-column-2"> <h5>Silver</h5> <p>Processed data after Extract, Transform, Load (ETL) processes</p> </div> <div class="three-column-3"> <h5>Gold</h5> <p>Enriched data post-Machine Learning (ML)</p> </div> <p> Wed, 28 Aug 2024 18:16:51 +0000 julie.lapalme@affiliate.mcgill.ca 604774 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/organizations/ai-analytics-mvps/accelerators-generative-ai <h2><em>Custom LLM Models for your business</em></h2> Wed, 28 Aug 2024 16:44:32 +0000 julie.lapalme@affiliate.mcgill.ca 604773 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/organizations/hackathons <h2>Sponsoring a DataSphere Lab hackathon is an invaluable opportunity.</h2> <p>It's a platform where you can present your most pressing analytical challenges and have them tackled by bright, upcoming talent.</p> <p>It's not only about finding innovative solutions; it's also about recognizing future innovators who can drive your company forward. Sponsorship puts your brand at the forefront of innovation and offers direct access to fresh perspectives and potential future hires.</p> Tue, 27 Aug 2024 18:31:56 +0000 julie.lapalme@affiliate.mcgill.ca 604762 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/organizations/hackathons/incubator-days <h2>Dive into the vibrant atmosphere of innovation at our on-campus Incubator Days.</h2> <ol class="enhance"> <li> <h3>Bring community together to generate ideas</h3> </li> <li> <h3>Generate ideas that lead to PoCs and accelerators</h3> </li> </ol> Tue, 27 Aug 2024 18:19:03 +0000 julie.lapalme@affiliate.mcgill.ca 604761 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/organizations/ai-analytics-mvps <h2>Elevate your business by submitting your analytics projects to the DataSphere Lab.</h2> <p>This partnership allows for the practical application of analytics across various domains鈥攂e it optimizing retail supply chains through predictive analytics, enhancing financial services with AI-driven risk assessment models, or pioneering sustainable energy solutions with advanced data modeling.</p> Tue, 27 Aug 2024 18:15:54 +0000 julie.lapalme@affiliate.mcgill.ca 604760 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/students/other-ways-get-involved <h2><em>There are many ways to get involved</em></h2> <ol class="enhance"> <li><big><strong>Volunteering at the DataSphere Lab</strong></big></li> <li><big><strong>In a course like the IMSF Program</strong></big><br /> <br /> Read the article: <a href="/bensadoun-school/data-sphere-lab/services/students/integrated-management-student-fellowship-datasphere-lab">IMSF at the DataSphere Lab: Shaping Tomorrow's Leaders</a><br /> 聽</li> </ol> <h3>What is the Integrated Management Student Fellowship (IMSF)?</h3> Tue, 27 Aug 2024 13:47:19 +0000 julie.lapalme@affiliate.mcgill.ca 604758 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-services/students/datasphere-lab-jobs-students/client-projects-roles <p>As <strong>Technical Analytics Consultants</strong>, undergraduate and graduate students apply their technical proficiency in data analytics by collaborating with our clients on projects centered around Analytics and AI. We are currently hiring for the following roles:</p> <div class="accordion"> <h3><a href="#">Image Recognition Consultant</a></h3> <div> <p>We are seeking a highly skilled and motivated <strong>Data Scientist</strong> with a specialty in image recognition to join our dynamic team. The ideal candidate will have a strong background in machine learning algorithms, cloud computing, and a passion for the intersection of art and technology. You will be working with a small team on a direct Client project. This client is in the Modern Art industry and looking to use AI in various use cases.</p> <p><strong>Key Responsibilities: </strong></p> <ul> <li>Develop, implement and use market-available image recognition models and algorithms.</li> <li>Collaborate with cross-functional teams to integrate image recognition capabilities into various projects.</li> <li>Manage and analyze large datasets of images to identify patterns and insights, and conduct classification analysis</li> <li>Stay abreast of the latest developments in machine learning and image recognition.</li> <li>Present findings and recommendations to stakeholders and academic peers.</li> </ul> <p><strong>Required Skills: </strong></p> <ul> <li>Proficiency in <strong>Python</strong> and experience with version control systems such as <strong>Git</strong>.</li> <li>Strong knowledge/familiarity of image recognition algorithms, including but not limited to: <ul> <li>Convolutional Neural Networks (CNNs)</li> <li>Residual Networks (ResNets)</li> <li>Recurrent Neural Networks (RNNs)</li> <li>Generative Adversarial Networks (GANs)</li> </ul> </li> <li>Familiarity with the three main cloud providers: <ul> <li>Microsoft Azure</li> <li>Amazon Web Services (AWS)</li> <li>Google Cloud Platform (GCP)</li> </ul> </li> <li>Familiarity with these popular cloud tools: <ul> <li>Google Cloud Vision API</li> <li>Amazon Rekognition</li> <li>Microsoft Azure AI Vision</li> </ul> </li> <li>Familiarity with commercial recognition images tools like: <ul> <li>SuperAnnotate</li> <li>DeeepSignals</li> <li>Vue.ai</li> <li>V7</li> </ul> </li> <li>A keen eye for the artistic aspects of data visualization and image processing.</li> <li>Experience with image preprocessing, cleaning, and augmentation techniques.</li> <li>An appreciation for Art/Design would be an asset<br /> 聽</li> </ul> <hr /></div> <h3><a href="#">Full Stack Web/Application Programmer</a></h3> <div> <p>We are seeking a highly skilled and motivated Programmer with a specialty in web/applications to join our dynamic team to work on a project for a client which is a leader in the aviation industry.<br /> <br /> We are building a platform/website which will allow the company to manage its product related documents and business processes, and leverage AI and machine learning to improve the process efficiency and gain insights from the data. You will be part of a team rebuilding/redesigning a bespoke application for the client to improve one of their core processes, and this tool will support research initiatives with the client and the University.<br /> <br /> You will be working with a Professor at the Desautels Faculty of Management, 黑料不打烊 University. You do not always need to be on campus to work (time and place are flexible).</p> <p><strong>Key Responsibilities: </strong></p> <ol> <li>Design and Develop a front-end Application using react/angular as frontend and node.js (or .NET) as backend.</li> <li>Design and Develop a database to store and manage the documents as well other data required for the website/platform other database and web programming tasks. Most likely we will use relational database like mySQL. But we may also examine if a noSQL database like MongoDB may be better for the given business needs.</li> </ol> <p><strong>Required Skills: </strong></p> <ol> <li>Proficient in HTML, CSS, JavaScript, Databases (mySQl and/or mongoDB); React framework; Node.js.</li> <li>Should have good knowledge of data structures and algorithms</li> </ol> <p>The Ideal candidate will have proficiency in both front and back-end development. However, even if you do not meet both requirements, you can still apply if you have excellent command of a programming language, are willing to learn and strongly believe that you can fulfill the job requirements.<br /> 聽</p> <hr /></div> <h3><a href="#">Marketing Data Analyst </a></h3> <div> <p>We are looking for an experienced <strong>Marketing Data Analyst</strong> to join our team and lead the development of Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) analysis using the Amazon Marketing Cloud (AMC) platform. In this role, you will design and execute marketing analytics projects that provide deep insights into the effectiveness of various marketing channels and campaigns, helping our clients optimize their marketing spend and ROI.</p> <p>The ideal candidate will have expertise in marketing analytics, data science, and has familiarity or can learn the Amazon Marketing Cloud ecosystem. You will work closely with our marketing, data science, and client success teams to create data-driven strategies that deliver actionable insights and drive business growth.</p> <p><strong>Key Responsibilities: </strong></p> <ul> <li><strong>Develop Marketing Mix Models (MMM):</strong> Design and implement MMM frameworks to quantify the impact of marketing activities across multiple channels (e.g., Amazon Ads, social media, display ads, etc.) on business outcomes such as sales and conversions.</li> <li><strong>Multi-Touch Attribution (MTA):</strong> Create and refine MTA models to analyze the customer journey across multiple touchpoints, attributing credit to each channel based on its contribution to the final conversion.</li> <li><strong>Amazon Marketing Cloud (AMC) Expertise:</strong> Leverage the Amazon Marketing Cloud platform to access, aggregate, and analyze first-party data to understand marketing performance across Amazon-owned and external channels.</li> <li><strong>Optimization of Marketing Spend:</strong> Provide recommendations to clients on how to optimize their marketing budget and resource allocation based on the insights from MMM and MTA models.</li> <li><strong>Client Collaboration:</strong> Work closely with clients to understand their business objectives and tailor marketing analysis to meet their specific needs. Present findings and recommendations in a clear, actionable format.</li> <li><strong>Data Visualization:</strong> Basic visualization to display MMM and MTA results and understand the impact of marketing decisions in real-time.</li> <li><strong>Model Validation and Continuous Improvement:</strong> Plan to evaluate and validate the accuracy of the MMM and MTA models after client handoff, iterating and refining them to improve predictive performance and business relevance.</li> </ul> <p><strong>Required Skills and Qualifications:</strong></p> <ul> <li><strong>Technical Expertise:</strong> <ul> <li>Experience building and deploying Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) models in real-world environments.</li> <li>Strong proficiency in data science and machine learning techniques, particularly in marketing analytics, using languages such as Python, R, or SQL.</li> <li>Experience with the Amazon Marketing Cloud (AMC) platform, including navigating the platform and querying datasets using SQL.</li> <li>Familiarity with cloud platforms (AWS, GCP, Azure) would be an asset.</li> </ul> </li> <li><strong>Marketing Knowledge:</strong> <ul> <li>Good understanding of digital marketing channels (e.g., Amazon Ads, Google Ads, Facebook Ads), their role in the customer journey, and their measurement methods.</li> <li>Familiarity with different attribution models (e.g., last-click, linear, time-decay) and their application in MTA will be an asset.</li> <li>Knowledge of media buying and advertising strategies, including programmatic advertising, search, and social campaigns will be an asset.</li> </ul> </li> <li><strong>Analytical Skills:</strong> <ul> <li>Ability to apply statistical methods to model marketing performance and ROI for different channels and touchpoints.</li> <li>Strong skills in analyzing data across multiple sources and identifying actionable insights to optimize marketing strategies.</li> </ul> </li> <li><strong>Soft Skills:</strong> <ul> <li>Strong and reliable communication skills</li> <li>Strong collaboration skills to work with cross-functional teams, including data engineers, marketers, and client account managers.</li> <li>Detail-oriented with the ability to manage multiple projects and deliver high-quality results in a fast-paced environment.</li> </ul> </li> </ul> <p><strong>Preferred Qualifications: </strong></p> <ul> <li>Bachelor鈥檚 or Master鈥檚 degree in Data Science, Marketing Analytics, Statistics, Computer Science, or a related field.</li> <li>Experience working with major e-commerce platforms like Amazon and analyzing marketing data across a variety of digital channels would be an asset.</li> <li>Familiarity with advanced marketing attribution techniques such as probabilistic or data-driven attribution would be an asset.</li> <li>Previous experience working with marketing agencies or consumer goods companies would be an asset.</li> </ul> <p><strong>Why Join Us?</strong></p> <ul> <li>Opportunity to work at the intersection of data science and marketing in a rapidly evolving field.</li> <li>Collaborate with a dynamic and innovative team that values creativity and data-driven decision-making.</li> <li>Competitive compensation package, with ample opportunities for professional growth and development.</li> <li>Play a critical role in shaping the future of marketing analytics for leading consumer goods brands.<br /> 聽</li> </ul> <hr /></div> <h3><a href="#">NLP & Sentiment Analyst </a></h3> <div> <p>We are seeking an experienced <strong>NLP & Sentiment Analyst</strong> to join our team and lead a project focused on developing a <strong>Ratings and Reviews</strong> analysis platform for a major consumer goods client. This role will involve designing and implementing natural language processing solutions to summarize website comments, extracting key insights, entities, and trends from unstructured customer feedback.</p> <p>The ideal candidate will have strong expertise in NLP techniques, and data analysis, and will play a key role in building tools that translate raw customer reviews into actionable business insights. You will collaborate closely with data scientists, product managers, and the client to develop a robust platform that provides summaries, sentiment analysis, and key entity extraction from consumer reviews.</p> <p><strong>Key Responsibilities: </strong></p> <ul> <li><strong>Develop NLP Solutions:</strong> Build and deploy models for analyzing customer ratings and reviews, using natural language processing and machine learning techniques.</li> <li><strong>Entity Extraction:</strong> Design and implement systems to extract meaningful entities such as product features, customer sentiment, and key topics from website comments and reviews.</li> <li><strong>Summarization:</strong> Create algorithms for generating concise summaries of customer feedback, highlighting trends, key concerns, and product performance based on review data.</li> <li><strong>Sentiment Analysis:</strong> Implement sentiment analysis models to gauge customer satisfaction and identify areas for improvement in product offerings.</li> <li><strong>Client Collaboration:</strong> Work with the client and internal teams to ensure the solutions meet business needs, including translating technical insights into actionable recommendations for the client.</li> <li><strong>Continuous Improvement:</strong> Monitor the performance of models and continuously optimize for accuracy, relevance, and speed.</li> </ul> <p><strong>Required Skills and Qualifications:</strong></p> <ul> <li><strong>Technical Expertise:</strong> <ul> <li>Proficiency in natural language processing techniques, including text classification, entity extraction, sentiment analysis, and summarization.</li> <li>Experience with popular NLP libraries and frameworks such as spaCy, NLTK, Hugging Face, etc.</li> <li>Strong programming skills in Python for NLP and data analysis.</li> <li>Experience working with unstructured data and text mining techniques.</li> <li>Experience with cloud platforms (AWS, GCP, Azure) and tools for processing large datasets (e.g., Hadoop, Spark) would be an asset.</li> </ul> </li> <li><strong>Analytical Skills:</strong> <ul> <li>Ability to clean, preprocess, and analyze large datasets to extract actionable insights.</li> <li>Experience in developing models for review and feedback analysis, including entity recognition and trend analysis.</li> <li>Familiarity in data visualization using tools.</li> </ul> </li> <li><strong>Soft Skills:</strong> <ul> <li>Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.</li> <li>Collaborative mindset, with experience working on cross-functional teams and with external clients.</li> <li>Problem-solving abilities, with a focus on delivering innovative solutions to client needs.</li> </ul> </li> </ul> <p><strong>Preferred Qualifications: </strong></p> <ul> <li>Bachelor鈥檚 or Master鈥檚 degree or higher in Analytics, Computer Science, Data Science, Linguistics, or a related field with a focus on NLP.</li> <li>Experience in the consumer goods sector or e-commerce industry, working on customer experience or product feedback projects would be an asset.</li> <li>Experience with data labeling and annotation platforms would be an asset.</li> <li>Previous experience working on projects that involve analyzing product reviews, ratings, or social media feedback would be an asset.</li> </ul> <p><strong>Why Join Us?</strong></p> <ul> <li>Opportunity to work on cutting-edge NLP projects in the consumer goods sector.</li> <li>Collaborate with a talented and multidisciplinary team of data scientists, engineers, and product managers.</li> <li>Shape the future of how companies use customer feedback to improve products and services.<br /> 聽</li> </ul> <hr /></div> <h3><a href="#">UX/UI Designer</a></h3> <div> <p>We are currently hiring a<strong> UX/UI Designer </strong>for an SME client project in the Sports and Leisure Retail Space.</p> <p><strong>Key Responsibilities: </strong></p> <ul> <li>Develop a Descriptive Analytics Dashboard for the client鈥檚 Sales and Inventory Operations</li> <li>Although the tool is yet to be determined, it will likely be in a popular platform like PowerBI, Tableau, Looker etc.</li> <li>The role will be more of a design role than a technical role, and you will be able to leverage the DataSphere Lab鈥檚 team for support with data integrations and other technical elements</li> <li>Work with our Analytics Strategist to define essential KPIs to display in the dashboard</li> <li>You should expect approximately 10-15 hours per week for this project</li> <li>Role begins immediately and estimated project completion is 8-12 weeks</li> </ul> <p><strong>Required Skills: </strong></p> <ul> <li>Completing /recently completed a bachelor's or master's degree in a relevant field such as Business, Analytics, Information Systems or any field that centres on data and or design.</li> <li>Excellent Design, problem-solving and analytical skills.</li> <li>Strong communication and presentation abilities, with the ability to explain complex concepts to both technical and non-technical stakeholders.</li> <li>Ability to work independently and collaboratively in a team environment.</li> <li>Strong attention to detail and ability to manage multiple tasks simultaneously.</li> <li>Familiarity with analytics, machine learning, artificial intelligence would be an asset but not required</li> <li>Familiarity/Passion for sports (in particular Soccer) would be an asset</li> </ul> </div> </div> <p> Tue, 27 Aug 2024 13:16:09 +0000 julie.lapalme@affiliate.mcgill.ca 604757 at /bensadoun-school /bensadoun-school/data-sphere-lab/our-team/specialized-teams/introducing-our-databank-offering-our-cloud-engineer <p></p><div class="media-youtube-video media-element file-default media-youtube-6"></div> Thu, 22 Aug 2024 17:50:13 +0000 julie.lapalme@affiliate.mcgill.ca 604754 at /bensadoun-school