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Our client a fast-growing online consumer lender specializing in installment lending and lines of
credit. Analytics is uniquely fundamental to this organization and culture which means you have
the opportunity to be engaged with all aspects of our business and work on really diverse and
challenging problems; from marketing to credit/risk to operations and even investor relations.
The data science team consists of highly motivated and experienced data scientists and they are
a strategic partner in developing and evolving the processes, technology, and decisions of the
business. The atmosphere is very collaborative - they work out difficult problems together and the work that
they do has a meaningful and immediate impact on the business. They have a python-based,
custom-built platform for running all the credit modeling which means that
they fully own our 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 other 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
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
- 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
- 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.
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
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