Share People Hub in partnership with ABI Growth Group | AB Inbev, search for a Data Scientist to work remotely.
About AB InBev
AB InBev is the leading global brewer and one of the worlds top 5 consumer product companies. With over 500 beer brands, were number one or two in many of the worlds top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About ABI Growth Group
ABIs Growth Division is the center of innovation and tech development within ABI, which is driving ABIs growth by developing innovations for the core beer business and creating new hyper-growth tech businesses. ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital.
This role will be largely dedicated to Ze Delivery. We believe that everyone deserves to celebrate wherever, however, and whenever they want, and in pursuit of this purpose, Zé Delivery has grown, evolved, and expanded its operations in the beverage market, incorporating different business units of the Direct to Consumer ecosystem, such as Empório da Cerveja and Chopp Brahma Express, thus becoming the platform for Ambev consumers.
Learn more on how Zé Delivery keeps business buzzing at https://jobs.kenoby.com/zedelivery
About The Role
Ze Delivery is seeking an experienced data scientist to support the consumer behavior tracking project. Prior experience with tracking tools such as Segment and Google Analytics on e-commerce companies is needed. In addition, the ideal candidate will have experience working with end-to-end implementation projects and dealing with product development teams.
What you ll do
- 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.
- 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.
- 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.
- Utilize Python/PySpark for data manipulation, analysis, and modeling tasks. Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.
- 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 efficient
What you ll need
- Bachelor s degree in computer science, engineering, mathematics, or any quantitative field. A master s degree is a plus.
- 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.
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch. Experience in implementing and deploying models using these frameworks.
- Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.
- Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.
- Good knowledge of CI/CD tools like Github for version control and collaboration. Familiarity with other collaboration tools is a plus.
- Understanding of workflows and automation tools to streamline processes and enhance efficiency.
Its great if you have
- Experience in optmization
What We Offer
- Performance based bonus*
- Attendance bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- Wellhub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Club Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
- Rules applied
Equal Opportunity & Affirmative Action
We are proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
