RemoteLeaf Logo
Log in Sign up

Sr. Data Science (Time series & Forecasting models)

1 hour, 6 minutes ago
Brazil
Senior
Data Scientist
Data Science and Analytics
Deep Learning LSTM Machine Learning Python PyTorch Random Forest RNN Scikit-learn SFTP Statistics TensorFlow XGBoost
Apply Now

Marathon Talent

Marathon Talent is a human resources and talent advisory firm that helps companies hire top bilingual talent from Latin America through recruitment, fractional people and talent strategy, market insights, salary studies, and advisory/mentorship services.

Human Resources
1-10
Founded 2023
View All Jobs 11

Description

  • Lead forecasting initiatives by designing and implementing advanced time series models for sales and behavioural trends.
  • Develop scalable machine learning solutions for real-time risk management, fraud detection, and product personalization.
  • Collaborate with product managers, engineers, and business stakeholders to turn data challenges into actionable insights and business outcomes.
  • Experiment with advanced approaches such as deep learning architectures, probabilistic forecasting, and transformer-based models.
  • Ensure model development aligns with industry regulations and ethical standards for financial data usage.
  • Identify opportunities where predictive modeling can create new value streams and competitive advantages.
  • Support automated and scalable data-driven decision-making across the business.
  • Contribute to the data science strategy for growth across multiple markets.

Requirements

  • At least 5 years of practical experience with machine learning and deep learning.
  • Strong understanding of fintech products and risk management.
  • Strong foundation in probability, statistics, and econometrics.
  • Experience with time series forecasting methods such as ARIMA, SARIMA, SARIMAX, VAR, exponential smoothing, or state-space models.
  • Experience with machine and deep learning methods such as Random Forest, XGBoost, RNNs, LSTMs, or Transformers.
  • Knowledge of Bayesian approaches such as BSTS, Prophet, or ensemble forecasting.
  • Deep knowledge of sequential data modeling with RNNs, LSTMs, GRUs, or Transformers.
  • Strong proficiency in Python ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Comfort consuming data through APIs, SFTP, or CSV files.
  • Experience with explainable AI, especially for deep learning forecasting time series methods.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Revenue Analytics

Data Scientist

Revenue Analytics 51-250 Media

Revenue Analytics is seeking a Data Scientist to help build machine learning and AI-driven hospitality analytics products that improve pricing, forecasting, and revenue management decisions.

United States Full-time Entry Level Data Scientist
$95k-$110k
LLM Machine Learning Python SQL
1 hour, 6 minutes ago
Uptalent

Remote Architectural Energy Modeler

Uptalent 11-50 Construction & Engineering

Uptalent.io is hiring a Remote Architectural Energy Modeler to support early-stage architectural concept design and sustainability efforts through Passive House or similar energy certifications.

Mexico Full-time Mid Level Data Scientist
1 hour, 6 minutes ago
Alimentiv

Statistician

Alimentiv 251-1K Professional Services

Alimentiv is seeking a biostatistics professional to support clinical trials and academic research through statistical planning, analysis, reporting, and project-level guidance across the full study lifecycle.

United States Full-time Senior Data Scientist
$81k-$136k
1 hour, 6 minutes ago
CI&T

[Job-30124] Engenheiro de Dados Mid Level , Brazil

CI&T 5K-10K Internet Software & Services

CI&T está contratando um(a) Data Developer Pleno para apoiar a modernização de uma plataforma de dados em um programa estratégico de migração de soluções analíticas de SAS para uma arquitetura moderna baseada em Databricks.

Brazil Full-time Mid Level Data Engineer Data Scientist
Apache Spark CI/CD Databricks GitHub Machine Learning MLflow MLOps Python SQL
1 hour, 35 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers