<p><strong></strong></p> <p><strong><span data-contrast="auto">About BEES</span></strong></p> <p><span data-contrast="auto">Join us to build the future of B2B commerce!</span><br><span data-contrast="auto">BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely.</span> <br><span data-contrast="auto">At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.</span> <span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"><br></span><span data-contrast="auto">Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!</span> <span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559739":0,"335559740":240}"> </span></p> <p><strong></strong></p> <p><strong>What you will do:</strong></p> <ul> <li>Collaborate with team members to analyze complex datasets, develop and implement cutting-edge machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.</li> <li>Stay up to date with the latest advancements in machine learning and deep learning algorithms, ensuring a strong technical foundation to solve complex business problems. Apply frontier algorithms to drive innovation across the team's projects.</li> <li>Utilize cloud platforms like Azure, Databricks, and Spark to efficiently process and analyze large-scale datasets. Leverage the full potential of these platforms to deliver scalable and performant solutions.</li> <li>Utilize Python/PySpark for data manipulation, analysis, and modeling tasks. Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.</li> <li>Collaborate closely with cross-functional teams, including data engineers, business stakeholders, and product managers, to understand project requirements and deliver high-quality solutions. Embrace an agile development approach to iterate quickly and efficiently.</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li>Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.</li> <li>Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning. Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.</li> <li>Proficiency in machine learning frameworks such as TensorFlow or PyTorch. Experience in implementing and deploying models using these frameworks.</li> <li>Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.</li> <li>Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.</li> <li>Good knowledge of CI/CD tools like Github for version control and collaboration. Familiarity with other collaboration tools is a plus.</li> <li>Understanding of workflows and automation tools to streamline processes and enhance efficiency.</li> </ul> <p><strong>What We Offer:</strong></p> <ul> <li>Performance based bonus*</li> <li>Attendance Bonus* </li> <li>Private pension plan</li> <li>Meal Allowance</li> <li>Casual office and dress code</li> <li>Days off*</li> <li>Health, dental, and life insurance</li> <li>Medicines discounts</li> <li>WellHub partnership</li> <li>Childcare subsidies</li> <li>Discounts on Ambev products*</li> <li>Clube Ben partnership</li> <li>Scholarship*</li> <li>School materials assurance</li> <li>Language and training platforms</li> <li>Transport allowance</li> </ul> <p>*Rules applied</p> <p> </p>