ML Scientist for Financial Forecasting & MLOps (Hybrid)

Silver Edge Arabia; Al Khobar; Hybrid; SAR 350,000 - 520,000; Part time

Job summary

Silver Edge Arabia seeks a Machine Learning Scientist/Engineer for a 12-month contract in Al Khobar, Saudi Arabia. You will design, prototype, and productionize ML models for financial intelligence, focusing on cost variance forecasting and KPI predictions in a hybrid work setup.

You will own end-to-end modeling, from hypothesis to deployment, building scalable pipelines with MLOps, and translating complex outputs into actionable dashboards for finance teams.

Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Quantitative Finance, or a highly quantitative field.

Responsibilities

• Design, train, and validate machine learning architectures and statistical models for multi-horizon cost forecasting and KPI predictions.

Skills

Time Series Forecasting

Python

Statistical Modeling

Deep Learning

Monte Carlo Simulation

Data Visualization

MLOps

Education

Master's or Ph.D. in Data Science / CS / Statistics

Tools

Prophet

ARIMA

DeepAR

Temporal Fusion Transformers

N-BEATS

PyTorch

TensorFlow

JAX

Job description

Silver Edge Arabia seeks a Machine Learning Scientist/Engineer for a 12-month contract in Al Khobar, Saudi Arabia. You will design, prototype, and productionize ML models for financial intelligence, focusing on cost variance forecasting and KPI predictions in a hybrid work setup.

You will own end-to-end modeling, from hypothesis to deployment, building scalable pipelines with MLOps, and translating complex outputs into actionable dashboards for finance teams.