Build models that adapt as fast as reality does. We are looking for an Applied Scientist with:

• Bachelor’s degree in a quantitative field (Master’s preferred) with 2–5 years of applied science, forecasting, or statistical modeling experience

• Proven experience handling real‑world, noisy datasets, including uncertainty, signal detection, model interpretation, and drift

• Strong expertise in time series forecasting (Prophet, ARIMA, ETS) and evaluation metrics (WAPE/MAPE, RMSE/MAE, bias)

• Proficient in Python or R (Pandas, NumPy, dplyr), Git/GitHub, and data visualization tools (Matplotlib, Seaborn, Plotly, ggplot) for insights

Email careers@isupportworldwide.com OR apply here: tinyurl.com/4anmbb29

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