Data Science Specialist

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Solar Coca-Cola

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2013

🤝 B2B

🚗 Transport

B2B • Transport

Solar Coca-Cola is the second-largest manufacturer within the Coca-Cola system in Brazil, producing more than three billion liters of beverages per year to serve roughly 400,000 points of sale. The company operates multiple factories and distribution centers across the country, offers services to retail partners (including refrigerator comodato and energy programs for points of sale), and emphasizes sustainability, governance, and community initiatives. Solar Coca-Cola focuses on large-scale beverage production, logistics and distribution, supplier and workforce management, and local social and environmental programs.

📋 Description

• Develop and maintain machine learning models for supervised and unsupervised learning, time series, reinforcement learning, operations research and/or linear programming • Conduct discovery sessions with business areas to gather requirements, design data solutions, and generate insights from market data and Solar Coca-Cola data • Ensure governance and quality of calculations and implementations • Automate data science workflows using pipelines and workflows in Databricks, ensuring scalability and reliability • Support and monitor consulting engagements for projects prioritized by senior leadership, ensuring knowledge transfer and model internalization • Design end-to-end data and process flows using flowcharts, collaborative tools and stakeholder interviews • Analyze platform and external data sources and integrate relevant insights into models and internal metrics • Lead data science decisions within project squads, ensuring deadlines, technical quality and alignment with strategic objectives

🎯 Requirements

• Bachelor's degree in Computer Science, Statistics, Computer Engineering, Mathematics, Physics, Engineering or related fields • Technical knowledge of data infrastructure, Big Data and data visualization • Experience executing Data Science, Machine Learning and/or Analytics projects • Proficiency in descriptive, predictive and prescriptive modeling, and experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch) • Knowledge of model deployment processes to production and testing methodologies for data products • Experience leading the implementation of data products • Nice to have: • Experience with machine learning platforms (e.g., AWS, Azure, Google Cloud) • Knowledge of A/B testing and API design as a product or SDK development • Contributions to notable open-source software projects

🏖️ Benefits

• Health plan with preferential conditions for you and your dependents • Telemedicine covering multiple specialties, including telepsychology • Dental plan • Emotional Wellness Program • Wellhub (network of gyms) • Life insurance • Meal allowance • Meal voucher or on-site cafeteria • Transportation voucher or company shuttle • Profit sharing • Private pension plan • A Corporate University full of opportunities for professional development • Extended maternity leave up to 180 days and paternity leave up to 20 days, also valid for adoptive parents and same-sex couples • Discounts on products from our portfolio • A holiday gift kit at the end of each year to share joy with your loved ones