Senior ML Scientist - Financial Forecasting & MLOps

Silver Edge Arabia; Al Khobar; Hybrid; SAR 240,000 - 360,000; Full time

Job summary

Silver Edge Arabia seeks a Machine Learning Scientist/Engineer for a hybrid Al Khobar-based 12-month contract. You will design, build, and productionize algorithms powering next-generation financial intelligence systems, guiding models from prototyping to scalable deployment.

You will apply time-series forecasting, ML modeling, and MLOps practices to automate cost variance and KPI forecasts, partnering with finance to deliver transparent insights.

Qualifications

• Strong theoretical and practical foundation in supervised/unsupervised learning, probabilistic programming, ensemble methods, and non-linear regression.
• Extensive experience with forecasting frameworks (Prophet, ARIMA, DeepAR, TFT, or N-BEATS) and financial data handling.
• Proven ability to build simulation frameworks, sensitivity analyses, or Bayesian models for risk and scenario modeling.

Responsibilities

• Advanced Predictive Modeling: Design, train, and validate ML architectures and statistical models for multi-horizon forecasts.
• Time Series & Sequential Modeling: Leverage deep time series techniques to capture seasonal patterns and macro dependencies in financial data.
• Scenario & What-If Simulation: Develop Monte Carlo and stress-testing engines for interactive scenario analysis.
• KPI & Cost Variance Analysis: Build automated anomaly detection and variance attribution models.
• Production Pipeline & MLOps Engineering: Refactor code for production, containerize models, orchestrate pipelines and monitor drift.
• Financial Translation: Partner with finance to translate outputs into interpretable dashboards.

Skills

ML Foundations

Time Series Forecasting

Simulation & Bayesian

Education

Master's or PhD in Data Science/CS/Quantitative Finance

Tools

Snowflake

BigQuery

Docker

Kubernetes

Job description

Silver Edge Arabia seeks a Machine Learning Scientist/Engineer for a hybrid Al Khobar-based 12-month contract. You will design, build, and productionize algorithms powering next-generation financial intelligence systems, guiding models from prototyping to scalable deployment.

You will apply time-series forecasting, ML modeling, and MLOps practices to automate cost variance and KPI forecasts, partnering with finance to deliver transparent insights.