Data Scientist/ML Engineer for Game Sales Forecasting

Budget: $75.0 - $150.0 HOURLY / AS_NEEDED ⭐ 4.93 (18) United Kingdom

xgboost-framework, python, machine-learning, machine-learning-model, model-tuning, data-consultation, feature-extraction, supervised-learning, random-forest-technique, gradient-boosting-technique, bayesian-statistics-technique, linear-regression, decision-trees-technique, python-sklearn, pandas, numpy, python-scipy, pymc-platform, mlflow-platform, apache-spark, java, sql, lightgbm, mysql, data-science, data-analysis

We are looking for an experienced Data Scientist / ML Engineer to build a video game sales forecasting model using historical data from thousands of game launches. Our dataset includes PR coverage, YouTube, TikTok, Instagram, Facebook, X, Twitch, pricing, storefront visibility, game metadata, and historical sales. The objective is to train a model that predicts sales for future titles using marketing and visibility signals. Required skills: Machine Learning & Forecasting Feature Engineering Python & SQL XGBoost, LightGBM, CatBoost or similar Marketing Mix Modeling (preferred) Please share relevant forecasting projects and your proposed approach.

Openen op Upwork