DIRECTOR / PRINCIPAL DATA SCIENTIST
Full-Time
Job Responsibilities
- Act as the Technical leader for Data Scientists at Data Science Dojo
- Recruit, Train, Lead, and guide Data Science staff
- Direct Data Science practices, course content development
- Develop and deliver bootcamps as the lead instructor. Engage and lead custom Data Science/ML projects for critical customers and regions
- Define, Implement machine learning algorithms for a variety of problems using structured and unstructured data sources
- 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 our tutorials, workshops, and bootcamps
- Curate, research, design, and write tutorials for various data science, big data, and predictive analytics tools
- Mentor and train new hires, respond to questions from cohorts, generate action and excitement in cohort Slack groups
- Establish Data Science Dojo as a thought leader in the Data Science/ML/AI industry. Present at conferences, write interesting blog posts about the happenings at Data Science Dojo and the rest of the industry
- 25%-50% travel expected
Ideal Applicants Have
- Demonstrated leadership in Data Science with infectious passion for data science, machine learning and data in general
- Brings the best out of the team in every challenge
- Excellent written and verbal communication skills.
- Ability to learn quickly and prioritize effectively
- Ability to define and influence product strategy, lead cross group collaboration, successfully advocate for and influence customers. 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.
- 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.
Basic Qualifications
- A Master’s or higher degree in Statistics, Mathematics, Computer Science, Electrical and Computer Engineering, or Economics is required
- Applied knowledge of some of the following: 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 preferred
- 15 years or more 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.