Data Science Machine Learning Engineer

Responsibilities

Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models

Organize full lifecycle software development to solve difficult engineering and machine learning problems

Write well designed, testable, efficient code

Choose and use the right analytical libraries, programming languages, and frameworks for each task

Organize documentation and maintenance of software functionality

Integrate software components into a fully functional software system

Qualifications

Master’s degree or Ph.D. in statistics, econometrics, physics, mathematics, or similarly quantitative field

6+ years of work experience in data analysis, applied statistics, machine learning, or econometrics

2+ years leading teams of 5 or more

Strong technical background, experience working with scalable data systems

Proficiency with SQL and at least one scripting language (R, Python, etc.)

Hands-on experience with a broad range of modeling techniques

Track record of focusing on the right results and delivering against critical goals

Shown experience working in Scrum teams to define, build, and ship products

Proven ability to move fast in an entrepreneurial environment