Data Scientist

Data Scientist Opportunity

Our client, a fast-growing online consumer lender specializing in installment lending and lines of credit, values analytics deeply. This means you'll engage with all aspects of the business, tackling diverse and challenging problems from marketing to credit/risk to operations and even investor relations. The data science team is highly motivated and experienced, serving as strategic partners in developing and evolving the processes, technology, and decisions of the business. The atmosphere is collaborative, with meaningful and immediate impact on the business. They have a python-based, custom-built platform for running all the credit modeling, fully owning the modeling processes from POC to production. They are constantly working on adding new models and improving existing ones, and as a member of the team, you'll have a set of models and analyses that will be your own.

Are you a data scientist ready to step into a role with more responsibility and freedom? Do you thrive in a fast-paced, challenging environment? Do you have experience in python working across a variety of data science tasks? Our client is looking for inquisitive minds to help them solve challenging problems as they grow and scale their business. They heavily use the following techniques and technologies:

• Modeling and machine learning
• Advanced feature engineering
• Python - pandas, numpy, scikit-learn
• Anaconda, Jupyter notebooks
• SQL - (PostgresSQL)
• Deploying and validating models in production
• Docker

An ideal candidate is well-experienced in at least a few of these, and would like to get proficient with the remainder, and maybe has good suggestions of other data science tools and methodologies that they haven't used yet.

Who are they looking for?

You are curious and highly driven. You like to sink your teeth into really challenging problems and when you're in the zone on a tough project, the time flies by. You're comfortable with and enjoy working on problems that are rarely well-defined. You can manage multiple projects at once and are able to switch between tasks as priorities change. You are highly organized and capable of managing your time (they don't want to micromanage).

Qualifications:

• Bachelor's degree or equivalent (Mathematics, Statistics, Physics, Biostatistics, Engineering), and 2+ years of related experience, Masters or Ph.D. preferred
• Experience with:
• Python - pandas, numpy, scikit-learn
• Anaconda, Jupyter notebooks
• R - dplyr, ggplot, lm, etc.
• Version control systems (Git/GitHub)
• SQL, PostgreSQL
• Ability to communicate analysis approaches and results in an organized and clear way
• Must be flexible and be willing to learn new tools/methods quickly
• Must be comfortable working in a fast-paced environment
• Must be a strong team player
• Must be able to drive projects to completion independently
• Must be authorized to work in the United States
• Nice to have skills: Python development, Docker, shell scripting, Bash

Benefits/Perks:

• Competitive pay and benefits package including medical, dental, vision
• Flex hours, including occasional work from home
• Casual work environment
• A large variety of projects to work on
• You'll get to know the ins and outs of the business at a level of detail that is difficult or impossible in a large company
• Rapid advancement in your breadth and depth of skills
• Work with industry leaders, including some of Chicago's best FinTech professionals
• A fun, highly collaborative environment