SENIOR DATA SCIENTIST
Full-Time
Job Responsibilities
- 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.
Basic Qualifications
- 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.