Tech Stack

Description

You will apply statistical techniques and develop predictive models to support revenue forecasting and financial analytics, working remotely while supporting global operations. You'll collaborate cross-functionally to communicate insights and enable data-driven decision-making.

Requirements

• Bachelor's or Master's in Computer Science, Statistics, Mathematics, Engineering, or related field
• 3+ years experience in data science and analytics with time series modeling
• Proficiency in Python, pandas, numpy, and machine learning libraries (scikit-learn, statsmodels, prophet, mlflow)
• Strong SQL skills and experience with Power BI or similar visualization tools
• Experience with cloud platforms like AWS or DataBricks and version control (Git, BitBucket)

Responsibilities

• Apply statistical techniques like regression, distribution analysis, and hypothesis testing
• Develop and explain complex models such as RandomForest, XGBoost, Prophet, SARIMA
• Visualize data using Power BI, ggplot, matplotlib
• Write efficient code for data manipulation and analysis using Python and PySpark
• Design scalable dashboards and analytical tools for central use