Data Science Dojo is a unique workplace that invests heavily in employees and growth. Being one of the foremost data science companies globally, Data Science Dojo ensures that our clients and customers get the best services and products. Our mission is to make data science accessible to everyone through our learning platform. Our teams are constantly iterating, solving problems, and working together to empower people around the world to use data science in effective ways. Click here to read more about the data scientist career path at Data Science Dojo.

Job Responsibilities

  • Develop Data Science Dojo’s course content and assist in curriculum development for our bootcamp materials 
  • Find interesting datasets and come up with innovative ways to use them in tutorials, bootcamps, and meetups 
  • Research, curate, write, and record tutorials on various data science, big data, and predictive analytics topics 
  • 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 

Ideal Applicants Have

  • 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 
  • 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

  • Understanding of the fundamentals of data science and machine learning, as well as basic principles of statistical inference 
  • Working towards a bachelor’s or higher degree in Statistics, Mathematics, Computer Science, Electrical and Computer Engineering, or Economics 
  • Proficiency in R and RStudio is essential. Knowledge of Python is beneficial, so is familiarity with any of the following: Hive, Pig, Mahout 
  • Working knowledge of big data concepts like Hadoop, MapReduce, and HDFS, as well as familiarity with Azure, AWS, and/or GCP ecosystem would be helpful 
  • Demonstrated experience using quantitative and qualitative data to make decisions, build and communicate plans, and monitor and measure progress. 

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