Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- Junior Data Scientist optimizing data-driven decisions for Ipiranga's business objectives. Engaging in predictive modeling, analysis, and collaboration with MLOps for software excellence.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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