Job Description:
Description:
DUTIES AND RESPONSIBILITIES (Including Essential Functions)
• Apply latest data analytic and machine learning technologies to high-impact applications, such as risk detection, user behavior prediction, and many more.
• Build qualitative and quantitative models to deepen understanding of user trends.
• Build a big data analytics pipeline, including data acquisition, sanitizing, exploration, and visualization.

JOB SPECIFICATIONS

Education/Knowledge:
• Major/Discipline: Computer Science/ Math/ Statistics or related
• Minimum Degree: Bachelor's Degree
• Preferred: Master's Degree

Skills & Abilities (Technical or General):
Minimum Requirements:
• Knowledge of data analysis techniques (probability, statistics, machine learning, etc) and experience with applications.
• Hands-on experience with big data analytics tools, such as Python, R, SQL, Hadoop, Spark, Java, Tableau, Vertica, Pig,etc.
• Strong analytical skills and detail oriented. Excellent analytical thought process - ability to understand the question, and devise an analytical approach to reach actionable answers.
• Strong communication skills and ability to work well as a team member

Preferred:
• Experience interpreting quantitative data, constructing predictive models, providing output to identify trends, interpret findings, draw insights, and formulate recommendations.
• Versed in the process of applying effective algorithms to large scale data modeling.
• Understanding and experience of deep learning modeling.