Senior Data Scientist | BEES Personalization

Sorry, this job was removed at 02:54 p.m. (CST) on Tuesday, Nov 26, 2024
Hiring Remotely in Remote, OR
In-Office or Remote
Food
America’s best-loved brewery, creating strong communities and meaningful moments for over 165 years. Enjoy responsibly.
The Role

About BEES

BEES, our ambition is – and always will be – to put customers at the heart of everything we do. Making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.


The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together the team is responsible for building the tools and products needed to deliver world class AI/ML capabilities


As a member of BEES Applied Science team, you will develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery. The ideal candidate should hold a bachelor's degree in any quantitative field; strong mastery of frontier algorithms in machine and deep learning; plus working knowledge of cloud platforms (Azure, Databricks) for ML applications. Proficiency in python / pyspark programing, collaboration tools, and working knowledge of CI/CD tools like GitHub is required. Knowledge of workflows for automation is also require


What you will 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


Qualifications

  • 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.
  • Availability to work in the hybrid model in Campinas or São Paulo


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*
  • Clube Ben partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is 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.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 


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The Company
HQ: St. Louis, MO
6,989 Employees
Year Founded: 1852

What We Do

For more than 160 years, Anheuser-Busch has been woven into the cultural fabric of the United States, carrying on a legacy of brewing great-tasting, high-quality beers that have satisfied beer drinkers for generations. Today, we own and operate more than 120 facilities and have more than 19,000 colleagues across the United States. We are home to several of America’s most recognizable beer brands, including Budweiser, Bud Light, Michelob ULTRA and Stella Artois, as well as a number of regional brands that provide beer drinkers with a choice of the best-tasting craft beers in the industry. From responsible drinking and emergency drinking water programs to industry-leading sustainability efforts, we are guided by our unwavering commitment to supporting the communities we call home.

We are a company that believes our people are our greatest asset. We believe in the spirit of ownership because our employees take results personally and want to build something great together. We value talented employees who aren’t afraid to be bold, resourceful, and committed. At Anheuser-Busch, it’s not about what you studied or where you worked, it’s about what you can do. If you see yourself working for a company that allows you to excel at the pace of your talent, then a career at Anheuser-Busch may be for you.

As America’s leading brewer, we are committed to finding innovative ways to continually improve. It's this kind of thinking that creates a unique work environment by rewarding talent, celebrating diversity and encouraging forward thinking. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status or any other characteristic protected by applicable law.

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