Data Engineer/Software Engineer

Key Skills

Agile methodologies, Apache Airflow, AWS, Data science techniques, Design, Docker, Git, GitLab, Java Programming, Python Programming, SPARK Programming, SQL

Job Description

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Data Engineer/Software Engineer

Nielsen Media

Nielsen Media is the global leader in measuring what people watch and listen to on TV, Digital and Audio in a changing media landscape. Data Science is essential to Nielsen’s mission. We offer a fast-paced environment for methodology and software development in a team of world-class computer scientists, statisticians, data scientists, and behavioral methodologists. Scarborough is the source of high quality consumer behavior and attitudinal data that, when combined with both internal Nielsen datasets and external data sources such as Polk, MRI and MARS, is a powerful buying and selling tool for our media and advertising clients.

What would make me a great candidate?

You enjoy bridging the fields of data science and software development. You’re equally excited about building models at scale and writing production-ready software that can run in the cloud. You understand machine learning and know how to implement best software development practices across a team. You’re intellectually curious and prepared to learn from your peers, just as you are comfortable educating your colleagues in software development and testing standards. 

Location: Chicago, New York, Tampa, Columbia(MD), Remote

What will I do?

• Plan, design, develop, test, and maintain data-science applications in Python and Spark
• Operate in Agile framework with cross-functional accountabilities
• Manage large databases Configure software to run in the cloud
• Optimize structural design and appraise the performance and consistency of developed applications' designs
• Evaluate, test, troubleshoot, promote and develop maintenance procedures and enhancements for live applications
• Provide technical support to end users
• Address critical bug/issues in a timely manner

Is this for me?

• Proficiency in Python, Spark, SQL
• Strong understanding of object-oriented programming
• Skill for writing reusable Python libraries
• Familiarity with designing scalable modules for machine learning and statistical applications
• Proficiency in Airflow and Docker
• Understanding fundamental design principles behind a scalable application
• Experience in implementing automated testing platforms and unit tests
• Proficiency in Git and code versioning tools (Gitlab)Experience with Agile Scrum methodologies
• Familiarity with continuous integration/continuous development
• Familiarity with cloud computing (AWS preferred)Degree in statistics, data science, computer science, business analytics
• Experience with APIs
• Strength in code documentation

Business Skills:

• Excellent oral and written communication
• Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
• Strong interpersonal skills and the ability to develop effective relationships with other team members