About Job:

we are looking for Data Scientist

As a successful candidate for this position, you are a recent graduate from a quantitative major such as computer science, data science, statistics, or similar. You know how to translate your analysis into code, and you’re comfortable writing Python (or a similar language), participating in code reviews, and pushing your code to production. 

• Collaborative. You know that your team members’ perspectives will make your solutions better. Similarly, you use your strengths to help us grow together.


• Customer focused. User experience trumps everything. You understand that a product will have little value if the customers don't enjoy using it.


• Disciplined and reliable. We are a distributed company and you enjoy the benefits of working distributed while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.


• Appreciative of honest feedback. You know that the best way to learn and grow is through constructive feedback delivered kindly, but without unnecessary ambiguity. You view feedback given to you as an opportunity to get better and strive to do the same for others.


• Work smarter and harder.  You’re fluent with your tools, and focused on solving real problems.  Not only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data can help us further bolster our conclusions.


• Analytical and practical mind. You strive for simple, precise solutions to complex problems. Complex solutions are only acceptable when absolutely needed. You strive for correct solutions, but know what actually matters and when to make compromises. You know when to ship and when to continue investigating.

• Modern libraries and frameworks.  We use Python with Pandas and Numpy for data science in production.  We use technologies like Jupyter and R during EDA.


• Diverse technologies and algorithms, solving real world problems.  At Our Company you’ll work with a wide range of technologies and algorithms on a daily basis, in a focused effort to solve large scale problems.


• Continuous deployment. Code is never far from being deployed to production, because if it’s not in production, it’s not solving problems in the real world. Our branch time spans are short, and features under development are hidden behind feature flags.


• Cloud first. As a services offering in the 21st century, the cloud isn’t the future, it’s the present. We’re fully invested in using the features offered by our cloud provider in order to minimize technical debt and maximize productivity.


• Micro-services. Not for the sake of the buzz, but when they make sense. By adopting a modern, thoughtful services architecture we’re able to scale organizationally, reduce technical debt, and maintain a high, sustained velocity.


• Start-up mode.  The team is still small, and the product is fresh.  You’ll be able to exert a large amount of influence, and contribute to decisions that will determine the future of the product and the team.


• 
  Requirements & Skills:
  


• Python


• Git


• Shell (bash, zsh, or similar)