Sr. Data Science
M
Marathon TalentFinancial Services
São Paulo, State of São Paulo, BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years
- Required Skills
- PythonMachine LearningPyTorchTensorflowDeep Learningscikit-learn
Requirements
- At least 5 years of experience with machine and deep learning in a practical setting.
- Strong understanding of fintech products and risk management.
- Strong foundation in probability, statistics, and econometrics.
- Expertise in time series forecasting methods including ARIMA, SARIMA, SARIMAX, VAR, exponential smoothing, or state-space models.
- Expertise in machine and deep learning including Random Forest, XGBoost, RNNs, LSTMs, or Transformers.
- Experience with Bayesian theory such as BSTS, Prophet, or ensemble forecasting.
- Proficiency in ML/DL frameworks in Python such as Tensorflow, PyTorch, and Scikit-learn.
- Experience consuming data through APIs, SFTP, or CSVs.
- Experience with explainable AI, especially in deep learning forecasting.
- Experience with stakeholder management and communicating technical methodologies to non-technical stakeholders.
Responsibilities
- Lead forecasting initiatives by designing and implementing advanced time series models to predict sales and behavioural trends for thousands of customers.
- Develop scalable machine learning solutions that power real-time decision-making across risk management, fraud detection, and product personalization.
- Collaborate cross-functional with product managers, engineers, and business stakeholders to translate complex data challenges into actionable insights and measurable business outcomes.
- Drive innovation in fintech applications by experimenting with cutting-edge approaches such as deep learning architectures and transformer-based models.
- Ensure compliance and transparency in model development, aligning with industry regulations and ethical standards for financial data usage.
- Shape the data science strategy by identifying opportunities where predictive modeling can unlock new value streams and competitive advantages.
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