Untitled role

JPC - 18505 - Data Scientist ( Demand Forecasting

Remote Job - Yes

10 Years

N/A

Posted 2 months ago

Job Description

Job Title

Data Scientist – Demand Forecasting

Location

Remote (U.S.)

Employment Type

Full-Time

Job Summary

We are seeking an experienced Data Scientist with expertise in Demand Forecasting, predictive analytics, and machine learning to develop scalable forecasting models that improve supply chain planning, inventory optimization, and business decision-making. The ideal candidate will have a strong background in time-series forecasting, statistical modeling, and production-grade ML solutions.

Required Experience

7+ years of experience in Data Science, Machine Learning, or Advanced Analytics

3+ years of hands-on experience in Demand Forecasting or Supply Chain Analytics

Experience building enterprise-scale forecasting models for retail, manufacturing, CPG, healthcare, or eCommerce

Experience deploying ML models into production environments

Required Skills

Python (Pandas, NumPy, Scikit-learn)

SQL

Time Series Forecasting

Statistical Modeling

Machine Learning Algorithms

Feature Engineering

Forecast Accuracy Optimization

Data Visualization (Power BI, Tableau, or Looker)

Git

Cloud Platforms (AWS, Azure, or GCP)

Preferred Forecasting Technologies

Prophet

ARIMA / SARIMA

XGBoost

LightGBM

CatBoost

LSTM / Deep Learning

Demand Planning & Inventory Optimization

Forecast Reconciliation

Bayesian Forecasting (Preferred)

Responsibilities

Design and implement demand forecasting models for short-, medium-, and long-term planning.

Analyze historical sales, seasonality, promotions, pricing, and external factors affecting demand.

Develop machine learning models to improve forecast accuracy.

Build scalable forecasting pipelines and automate model retraining.

Partner with Supply Chain, Operations, Finance, and Product teams to support planning decisions.

Monitor model performance and continuously improve forecasting accuracy.

Perform statistical analysis, feature engineering, and model validation.

Create dashboards and communicate forecasting insights to business stakeholders.

Deploy and maintain production-ready ML models.

Preferred Qualifications

Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field

Experience with MLOps pipelines

Knowledge of inventory optimization and supply chain planning

Experience with Spark or Databricks is a plus

Strong communication and stakeholder management skills