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Data Scientist

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Moscow, Russia
Science/Research, English
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Job Description:

A LITTLE ABOUT US xxxx0; 
From clunky apps to hidden fees, banking as we know it is broken. So we decided to build a company from the ground that would challenge the bigger players and reinvent how people interact with their money - for the better. 
Traditional banks are slow and expensive. Realistically, you're nothing but a number to them with dollar signs attached. So, one continent at a time, we plan on changing this. 
This may sound a little salesy, but we've signed up more than 3m customers without spending a single penny on marketing. It's simple really: if you solve an everyday problem, you don't need to spend a gazillion dollars on fancy marketing campaigns. 

OUR CULTURE xxxx7; 
To put it bluntly - it's about getting it done and owning what you do. We don't hide behind fancy job titles or set up bureaucratic processes. Instead we treat our people equally, fairly and give them a ton of freedom and autonomy to create something awesome. 
We make mistakes, we learn from them and we back everything up with data and logic. 
In three years, we've grown to over 600 people and we're adding around 30 new additions each month. From engineers to marketers, we're on the hunt for exceptional talent to help us scale our business and get (COMPANY NAME) in the hands of millions of people everywhere. 

We are looking for Data Scientists who know how to solve the big problems with the right solution. 

WHAT YOU'LL BE DOING 
Delivering real impact to the product through rigorous data-driven solutions 
Researching and building productionisable models with or without machine learning 
Collaborating with product owners, engineers and data scientists to improve data infrastructure and contribute to a seamless research platform 

WHAT SKILLS YOU'LL NEED 
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics) 
Proven experience in developing Python applications 
Excellent knowledge in SQL 
Deep understanding of fundamentals of probability and statistics 
Big picture thinking - correctly diagnosing problems and productionising research 
Databases: SQL {Exasol, PostgreSQL, BigQuery}, NoSQL {DataStore, CouchDB, Redis} 
Production: Docker, K8s, Multi-threading 

Preferred: 
Familiarity with GCP 
Previous Experience: Quantitative Research {Finance, Credit, Risk}, NLP {chatbot} 
Cloud: GCP       
BENEFITS xxxx3; 
You'll get to work in one of the hottest and fastest growing tech startups in the world right now 
We'll arm you with all of the latest tech equipment 
Competitive salary 
Medical Insurance

Source: Company website
Posted on: 15 Mar 2019
Languages: English
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