Implement machine learning algorithms for a variety of problems using structured and unstructured data sources
Configure end-to-end components of a big data pipeline for various data science problems
Lead and deliver Data Science Bootcamps, develop content for course delivery
Develop Data Science Dojo course content and assist in the delivery of course materials and bootcamps
Present findings of analyses and explain the models to clients and class participants
Find interesting data sets and come up with innovative ways to use them in tutorials, workshops, and bootcamps
Curate, research, design, and write tutorials for various data science, big data, and predictive analytics tools
Write interesting blog posts about the happenings at Data Science Dojo and the rest of the industry
Curate code samples used in our workshops and bootcamps and manage the associated git repository
Mentor and train new hires, respond to questions from cohorts, generate action and excitement in cohort Slack groups
25% travel expected
Ideal Applicants Have
Infectious passion for data science, machine learning and data in general
The attitude of a positive team player. We really mean it.
Excellent written and verbal communication skills.
A genuine and demonstrated passion for data science, machine learning and data in general
Ability to learn quickly and prioritize effectively
Ability to impact and influence solution direction without authority, drive cross group collaboration, successfully advocate for customers and apply critical thinking and creative solutions in a dynamic highly ambiguous working environment.
Strong sense of pride and personal accountability for the end-to-end product/service quality, completeness, and resulting in good quality user experience
Self-starter with a proven ability to work in fast-paced environment; possesses a “whatever it takes mentality,” able to quickly and easily adapt to changing mandates and priorities.
The ability to demonstrate a sense of urgency around critical priorities, but work calmly, independently and effectively under pressure.
A Bachelors or higher degree in Statistics, Mathematics, Computer Science, Electrical and Computer Engineering, or Economics is required
Applied knowledge of R, Python, Hive, Pig, Mahout, Java, C#
Substantial coursework in Data Management, Data Warehousing, Machine Learning, Statistical inference
Working knowledge of big data concepts like Hadoop, MapReduce, and HDFS
Familiarity with data tools and services in Azure, AWS, and/or GCP eco-system is required
7-10 years of demonstrated experience using quantitative and qualitative data to make decisions and recommendations, to build and communicate plans, and to monitor and measure progress against goals.
Must have delivered outcomes in at least six figures in dollars leveraging data science practices.