Position: Product Analytics - Data Scientist
Company: CreditNinja
Experience required: 5y
Category: Data Science
English level: upper
Published: 2021-05-01T00:00:00+03:00

**DESCRIPTION:**
CreditNinja is a FinTech company founded in 2017 by veteran serial entrepreneurs who were part of the core team behind Enova (NYSE:ENVA), a leading publicly traded consumer financial services company. CreditNinja's mission is to provide hard working Americans with financial solutions when unexpected expenses arise. Unlike traditional banks, CreditNinja works hard to ensure that people with less-than-perfect credit can have quick access to the money they need. Headquartered in downtown Chicago, we are a lean and innovative team seeking like-minded talent to help us disrupt the consumer finance industry.

**JOB SUMMARY:**
CreditNinja is looking for a Data Scientist to join our Product Analytics team and work closely with our existing team of marketing and advanced analytics experts. The hire will be responsible for testing, optimizing and implementing new analytics strategies for the leads system to drive profitable growth. The ideal candidate is a self-directed individual with strong technical skills who can leverage large datasets to solve complex problems. This is an exciting and rare opportunity to join a well-capitalized startup on the ground floor and help drive our success.
 
**KEY RESPONSIBILITIES:**
Understand the leads system, identify potential problems or business opportunities, make data-driven recommendations on bidding strategies, and drive informed actions.
Perform advanced data analytics to identify data relationships such as trends, patterns and correlations in order to solve business questions and identify growth opportunities.
Collaborate with the modeling team to develop machine learning models to improve customer conversion and funnel. 
Communicate concise and actionable business strategies for senior management.
Collaborate with engineering/product teams to implement bid optimization strategies, and perform post release checks and impact analysis.
Design, run and evaluate AB test experiments for the leads system.
Monitor key funnel metrics, understand the root causes of changes
Build automated dashboards and analysis reports.
Work with cross-functional teams to explore new ways of finding insights from data.

**REQUIREMENTS:**
Advanced degree in quantitative discipline (e.g., math, statistics, operations research, quantitative finance, physics, engineering, computer sciences, etc.)
5+ years of experience with data analytics and statistical modeling
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases
Programming experience with Python
Strong quantitative and problem-solving skills with key attention to detail
Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment
Experience supporting and working with cross-functional teams in a dynamic environment
Experience in the financial services industry a plus


**BENEFITS**
Competitive salary 
Fun, fast-paced work environment
Dynamic start-up culture
Ability to make an immediate impact in a growth stage company
100% remote