Description

You will lead advanced statistical analysis and data infrastructure optimization to drive business intelligence decisions.

This role is on-site.

Responsibilities

• Lead multifaceted analytic studies and experiments on large volumes of structured and unstructured data.
• Execute exploratory mathematical and statistical techniques to identify patterns, trends, and root causes.
• Develop data models and define Spark, SparkSQL, and HiveSQL jobs to populate data assets.
• Clean, massage, and organize data using programming to support research and analytic activities.
• Coordinate with Data Engineers to build environments and work with engineering teams on long-term data platform architecture.

Required Skills

• 5+ years of experience in data science or a related quantitative field.
• Proficiency in Python, SQL, R, or Java.
• Experience with big data technologies including Spark and Hadoop.
• Expertise in data mining and machine learning.
• Working knowledge of statistical models and business intelligence.
• Ability to process unstructured data using NoSQL databases.
• Experience with NumPy and MatLab.
• Familiarity with cloud-based infrastructure.

Preferred Skills

• Experience with data visualization tools like D3.js and Tableau.
• Proficiency in Kotlin.

Key Skills

Education

Master's degree