{"id":692617,"url":"https://alion.io/job/bees-intermediate-data-scientist-bees-data","title":"Intermediate Data Scientist - Bees Data","company":{"id":668841,"name":"BEES","domain":"bees.com","url":"https://alion.io/company/bees-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Campinas, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":94000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"CI/CD","optional":true},{"name":"GitHub","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-31T21:37:27Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-04T02:37:16Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"About us\nAB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.\nAbout ABI Growth Group\nABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper-growth tech businesses. \nABI 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.\nWhat you will do:\nCollaborate 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.\nStay 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.\nUtilize 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.\nUtilize Python/PySpark for data manipulation, analysis, and modeling tasks. Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.\nCollaborate 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.\nQualifications:\nBachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.\nStrong 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.\nProficiency in machine learning frameworks such as TensorFlow or PyTorch. Experience in implementing and deploying models using these frameworks.\nExperience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.\nProficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.\nGood knowledge of CI/CD tools like Github for version control and collaboration. Familiarity with other collaboration tools is a plus.\nUnderstanding of workflows and automation tools to streamline processes and enhance efficiency.\nWhat We Offer:\nPerformance based bonus*\nAttendance Bonus* \nPrivate pension plan\nMeal Allowance\nCasual office and dress code\nDays off*\nHealth, dental, and life insurance\nMedicines discounts\nWellHub partnership\nChildcare subsidies\nDiscounts on Ambev products*\nClube Ben partnership\nScholarship*\nSchool materials assurance\nLanguage and training platforms\nTransport allowance\n*Rules applied\nEqual Opportunity & Affirmative Action:\nABI 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.\nThe following fields are optional, but anticipate the information for your registration*.\nRemember: your data will never be used as elimination criteria in selection processes. With them, ABI 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. \n For more information: www.bees.com and www.abinbev.com","description_format":"text","description_chars":4128,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Performance based bonus"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-11T01:21:32Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.697,"p_room":0.9,"age_days":32,"expected_fill_days":52,"reasons":["conf:13","velocity","win:mid"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/bees-intermediate-data-scientist-bees-data","json_url":"https://alion.io/job/bees-intermediate-data-scientist-bees-data.json","meta":{"generated_at":"2026-10-04T02:38:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3852,"day_limit":5000,"remaining_today":1148,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}