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edge
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$117k-144k (estimate)
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Chicago, IL | Full Time
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Health Care Service
Chicago, IL | Full Time
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Muck Rack
Chicago, IL | Full Time
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Tiger Analytics
Chicago, IL | Full Time
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Health Care Service
Chicago, IL | Full Time
$114k-141k (estimate)
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Evolve24
Chicago, IL | Full Time
$120k-148k (estimate)
1 Week Ago
Data Scientist
Quanta Search Chicago, IL
$114k-140k (estimate)
Full Time 3 Weeks Ago
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Quanta Search is Hiring a Data Scientist Near Chicago, IL

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
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:
o Python - pandas, numpy, scikit-learn

o Anaconda, Jupyter notebooks
o R - dplyr, ggplot, lm, etc.
o Version control systems (Git/GitHub)
o 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.

Job Summary

JOB TYPE

Full Time

SALARY

$114k-140k (estimate)

POST DATE

05/14/2024

EXPIRATION DATE

07/13/2024

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The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Python, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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