Deliver data-driven recommendations that optimize Ipiranga's decision-making to achieve its objectives.
Develop predictive models, participating from ideation to productionization, to support business decisions.
Develop ad hoc analyses to answer specific business questions and extract relevant insights.
Ensure continuous improvement of existing models by proposing and conducting tests of new techniques, adding/removing features, and tuning hyperparameters, among other activities.
Maintain and fine-tune existing models.
Present analysis and model results to business areas, including managers and directors.
Collaborate with the MLOps team to ensure Data Science products meet software engineering excellence standards.
Requirements
Bachelor's degree in engineering, computer science, statistics, mathematics, physics, or related fields.
Knowledge of Python programming and key data manipulation and analysis libraries (Pandas, NumPy, SciPy, etc.), machine learning (Scikit-learn), and data visualization (Matplotlib).
Familiarity with version control using Git.
Strong grasp of basic descriptive statistics concepts (mean, median, standard deviation, etc.).
Understanding of the objectives and requirements of Data Science tasks (classification, clustering, regression, etc.).
Basic understanding of the fundamentals behind common ML algorithms (linear regression, k-NN, k-means, decision trees, etc.).
Curious mindset: willingness and ability to learn (about data science and Ipiranga's business).
Benefits
Flexible working hours
Allowance for children with disabilities
Variable compensation program
Private pension plan
Additional pay for length of service
Online therapy & nutritional guidance
Newborn gift package
Corporate university
Reimbursement for glasses and contact lenses
Medication assistance
Vaccination assistance
Market-standard benefits: Gympass, meal and food vouchers, transportation allowance, health and dental insurance, life insurance
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