Tech Stack

Description

You will apply statistical techniques and machine learning to develop predictive models, support revenue forecasting, and drive data-informed decision-making. You'll work with cross-functional stakeholders, build scalable dashboards, and communicate complex insights to non-technical audiences.

Requirements

• Bachelor's or Master's in CS, Statistics, Math, Engineering or related field
• 3+ years experience in data science and time series modeling
• Proficiency in Python, pandas, numpy, and machine learning libraries (scikit-learn, statsmodels, prophet)
• Experience with SQL, Power BI, and cloud platforms (DataBricks or AWS)
• Familiarity with big data frameworks like PySpark and version control (BitBucket)

Responsibilities

• Apply statistical techniques (regression, hypothesis testing) and build models like RandomForest, XGBoost, Prophet
• Visualize data using Power BI, ggplot, matplotlib
• Write efficient, reusable Python code and manage projects with Git
• Design scalable dashboards and analytical tools
• Communicate findings in clear, actionable terms to non-technical stakeholders