Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Scientist developing predictive models for vehicle budgeting solutions at Cilia Tecnologia. Collaborating with engineering team to implement models and monitor production performance.
Responsibilities
- Understand requirements from business areas and translate them into analytical problems;
- Extract, clean and transform data from different sources; perform exploratory and statistical analyses;
- Develop, validate and optimize predictive models for classification, regression and segmentation;
- Define evaluation metrics and conduct experiments and statistical tests;
- Also responsible for collaborating with the engineering team to deploy models, design training and inference pipelines, monitor production performance (including drift analysis and retraining needs), document processes and results, and communicate insights and recommendations clearly to technical and non-technical audiences.
Requirements
- Proven experience developing machine learning models for tabular data (classification, regression, and segmentation).
- Strong knowledge of applied statistics and exploratory data analysis.
- Proficiency in Python for data analysis (Pandas, NumPy, scikit-learn).
- Experience with gradient boosting libraries (XGBoost, LightGBM or CatBoost).
- Knowledge of SQL for data extraction and manipulation.
- Experience in data cleaning and preparation (feature engineering, handling missing values, outliers, and class imbalance).
- Knowledge of model validation, evaluation metrics and hyperparameter tuning.
- Experience with code versioning (Git).
- Experience deploying or supporting the deployment of models in production.
- Ability to document analyses and communicate results clearly.
Benefits
- Flexible meal allowance via the Cajú Card: Freedom to choose how to use your allowance, providing flexibility and convenience;
- Unimed health insurance fully paid by the company: Your health is our priority— we provide a comprehensive plan with no co-pay for exams or consultations;
- Flexible mobility allowance via the Cajú Card: Freedom to choose how to use your allowance;
- Wellhub: Take care of your health— access gyms, fitness apps and online wellness resources for meditation, nutrition, mental health support and more;
- Day Off: One paid day off for you to enjoy as you wish;
- Partnership with SESC: With the SESC credential, you and your family can enjoy a range of benefits across education, health, culture, leisure and social assistance—available free of charge or at reduced prices;
- Breakfast and afternoon snack: Start your day energized! We provide a nutritious breakfast and tasty snacks to help maintain your productivity;
- Explore new educational opportunities with our exclusive partnerships: Discounts of 10% to 20% on undergraduate, graduate and short courses.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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