Data Scientist II

Job not on LinkedIn

🕒 August 10

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solar Coca-Cola

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2013

🍽️ Food & Beverage

🏭 Manufacturing

🚗 Transport

Food & Beverage • Manufacturing • 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 diagnostic, descriptive, predictive and prescriptive models and analyses using statistical analysis and machine learning techniques to support data-driven decision making • Continuously improve existing models • Build complex statistical models for specific business problems, aiming to increase automatic approvals for very low-risk cases • Deliver model projects with high quality and speed, meeting the demands and specific requirements of each segment • Stay up to date with new practices in data science • Apply statistical sampling and modeling techniques to identify business improvement opportunities • Apply clustering techniques to identify customer profiles

🎯 Requirements

• Bachelor's degree in IT, Engineering, Mathematics, Statistics, Physics, Chemistry or related fields • Knowledge of data science algorithms and proficiency coding in Python • Familiarity with version control and code review tools such as GitHub and GitLab • Knowledge of monitoring models in production • Knowledge of experimentation methodologies, such as A/B testing • Experience creating data products • Experience handling large datasets and tools such as Spark and Dask • Knowledge of SQL and data science toolkits such as scikit-learn, pandas and notebooks • Knowledge of predictive modeling • Postgraduate degree in data science–related fields is a plus • Experience deploying models to production and testing methodologies for data products is a plus • Experience developing products and working with machine learning orchestration frameworks such as Kubeflow, Airflow and MLflow is a plus

🏖️ Benefits

• Health plan with special conditions for you and your dependents • Telemedicine services covering various specialties, including telepsychology • Dental plan • Emotional health program • Wellhub (gym network) • Life insurance • Meal allowance • Meal allowance or access to on-site cafeteria • Transportation allowance or shuttle service • Profit-sharing • Private pension plan • A corporate university full of development opportunities • Extended parental leave: up to 180 days for maternity and up to 20 days for paternity, also available to adoptive parents and same-sex couples • Discounts on company products • A Christmas gift kit at the end of each year to share with loved ones