Position: Data Scientist
Company: Qubit Labs
Experience required: 2y
English level: upper

Their product suite is led by credit and we’re building broader offerings for users. Their vision is to unlock the power of finance to create opportunities for all.

We are currently seeking to expand our client’s fast-growing Decision Science team and as such, we are looking for a Data Scientist (DS) to join to their team. You will help them build and improve upon their customer decisioning strategy and journey.

**Responsibilities:**
— Transform business cases to data science (DS) tasks.
— Identify (DS) opportunities based on data availability.
​— Support and lead the team regarding technical innovation — algorithms, tools, etc.
​— Credit Risk Scorecards development — application, behavior, etc.
​— Management-ready action points — transform the DS results into comprehensible and actionable insights.

**Required skills:**
— University degree or equivalent standard with a high numeric content: statistics, econometrics, business administration/ economics, mathematics, finance, etc.
— 2+ years of experience in the analytics field — very strong statistical background along with portfolio of business cases solved leveraging advanced analytics techniques.
— Experience with R, Python or similar.

**Will be a plus:**
— Experience with hands-on credit risk scorecards development.
— Domain knowledge in credit risk working for a banking or non-banking financial institution.
— Experience with big data tools — SPARK, Hive, AWS, etc.

**We offer:**
— To join only foreign product teams.
— To be fully involved in product development and implement your bits of knowledge and ideas.
— Competitive salary depends on your qualification + share options.
— Flexible schedule: 8 hours per day, usually we start working from 9 to 11 am.
— Full-time remote.
— Paid vacation (18 working days per year).
— Paid sick leaves (10 working days per year).
— Registering as a private entrepreneur („ФОП”, managed by our accountant).
— Health insurance.
— Educational compensation.
— Monthly delivery of delicious lunches and snacks.
— Corporate life subject to quarantine regulations (a variety of online activities).