Forecasting Senior Data Scientist

Required

·         11+ years in data science, quantitative analytics, or a related field, with a strong focus on forecasting.

·         Track record of owning high-stakes forecasts end to end and setting forecasting methodology or standards.

·         Advanced time-series and statistical forecasting skills (ARIMA/SARIMA, exponential smoothing, Prophet, state-space models, and ML approaches like gradient boosting).

·         Deep experience forecasting subscription/recurring-revenue metrics — subscribers, churn, retention, LTV, and revenue.

·         Strong proficiency in Python (pandas, statsmodels, scikit-learn) and/or R.

·         Strong SQL and experience working with large, complex datasets.

·         Strong understanding of finance/FP&A concepts and subscriber-business unit economics.

·         Excellent ability to communicate results and influence finance and executive audiences.