Description

You will solve complex marketing and business challenges using inferential and predictive modeling and big data integration.

Responsibilities

• Translate marketing and business questions into structured analytical plans.
• Use distributed computing systems to ingest and integrate disparate big data sources.
• Conduct exploratory analysis to identify insights, transformations, and analytical applications.
• Apply statistical and machine learning techniques to uncover latent patterns in data.
• Build and test scalable data pipelines and models for real-time applications.

Required Skills

• 5+ years of professional experience in a data science or analytics role.
• Proficiency in Python or R.
• Strong SQL skills for data manipulation.
• Experience with distributed computing systems such as Hadoop or AWS.
• Hands-on experience with statistical procedures including hypothesis testing and dimension reduction.
• Experience with supervised and unsupervised machine learning.
• Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, computer science, or engineering.

Preferred Skills

• Familiarity with Linux and Spark.
• Interest in marketing analytical applications.

Key Skills

Education

Any Graduate