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Senior Data Scientist – Time Series, Forecasting Models
Location
Brazil
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist – Time Series, Forecasting Models
Marathon Talent
• 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-functionally 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 (e.g., deep learning architectures, probabilistic forecasting, 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.
Job Requirements
- You have at least 5 years of experience with machine and deep learning in a practical setting.
- You have a good understanding of fintech products, and risk management to interpret business data effectively.
- You have a strong foundation in probability, statistics, and econometrics.
- You have strong expertise in time series forecasting methods based on statistical analysis (ARIMA, SARIMA, SARIMAX, VAR, exponential smoothing, or state-space models), on Machine & Deep Learning (Random Forest, XGBoost, RNNs, LSTMs, or Transformers), or on Bayesian theory (BSTS, Prophet, or ensemble forecasting), among others.
- You have deep knowledge of machine learning techniques for sequential data (RNNs, LSTMs, GRUs, Transformers).
- You have strong proficiency in ML/DL frameworks in Python (e.g. Tensorflow, PyTorch, Scikit-learn).
- You are comfortable consuming data through APIs, SFTP, or straight-up CSVs.
- You care about scalable machine and deep learning solutions governed by low time and space complexity algorithms and methods.
- You have experience with explainable AI, specially in the context of Deep Learning Forecasting time series methods.
- You have a data-oriented mindset: you care about getting to the bottom of how to make decisions based on data.
- You have stakeholder management experience, keeping everyone up-to-date with key findings and explaining in a non-technical way results, methodologies and processes for data-driven decision making.
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