Data Scientist III

Overview

Note:

By applying to this position your application is automatically submitted to the following locations:
Cape Town, ZA

At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education  the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees.

Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

What We’re Looking For:

The Data Scientist III will technically lead analytical research, machine learning and other data science initiatives across all lines of business, including degree, executive education, and open course programs. The Data Scientist III would be expected to engage with stakeholders, lead technical solution design and delivery. This is a highly quantitative role that requires analytical aptitude, strong programming skills, and intellectual curiosity.

We are looking for someone who is excited about solving business problems, eager to learn and apply experimental and machine learning techniques, and motivated to develop their skills in a collaborative team environment.

• Lead statistical analysis, reporting and visualization to support business decision-making across degree, executive education, and open course lines of business.
• Lead the end to end technical delivery of Data Science projects/models over use cases that span all lines of business and functional areas, identifying high value opportunities and implementing the solution.
• Lead design and implementation of A/B tests on Data Science projects/models implemented to determine and size success of solutions.
• Collaborate with engineers and ML engineers to support productionization efforts, including code development, testing, and integration into the 2U software ecosystem.
• Partner with stakeholders and product to gain domain knowledge, understand requirements, and contribute to planning development tasks and projects.

• Bachelor's degree in data science, statistics, mathematics, computer science, economics or other quantitative field required
• 5-10 years of experience in data science or related role
• Proven track record of delivering production-grade machine learning models and data science products that drove significant business impact
• Demonstrated experience designing and analyzing online controlled experiments (A/B testing)
• Proven experience applying analytical techniques such as classification, regression, cluster analysis, pattern recognition, and predictive modeling
• Strong proficiency in Python and other object-oriented programming languages (R, Java, Scala, or similar)
• Advanced SQL skills and experience querying relational and/or No
  
  SQL databases
• Solid understanding of applied statistics
• Experience with data visualization and business intelligence tools (e.g., Tableau, Looker, Power
  
  BI, Domo, or similar platforms)
• Familiarity with data engineering concepts and ETL processes
• Excellent communication skills and ability to work collaboratively in a team environment while receiving moderate guidance and direction

• Graduate degree or additional coursework in quantitative fields is a plus

Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide over 40 million learners and counting with access to world-class online higher education, then join us – and do work that makes a difference.

#No Back Row

We offer comprehensive benefits (unique per country) and excellent work/life balance. Full-time, ZA benefits include:

• 2 complimentary Get smarter short courses per year
• Subsidised medical aid with Discovery Health Medical Scheme
• 4% 2U contribution towards Discovery Life Pension Fund and Group Risk Benefit
• Employee Assistance…