Senior Data Scientist

| Chicago
Please send a cover letter, CV, and work examples (including blog posts and open source repositories!) to [email protected]
Apply now

Strong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building and validating statistical models, and helping our clients discover value in their data.

This role requires a deep expertise in applied statistics, as well as experience designing and developing data applications comprising ETL pipelines, machine learning algorithms, and scalable data stores with distributed computational layers (e.g., Hadoop, Spark, Hive).

Candidates will be evaluated based on their experience in the following areas:

  • Statistical modeling and hypothesis testing using Python and/or R.
  • Designing, training, and validating a breadth of machine learning algorithms.
  • Writing complex SQL queries in various RDBMS (e.g., Postgres, MySQL) and distributed frameworks (e.g., Hive).
  • Building and deploying Python and/or Scala applications.
  • Deploying applications and interacting with cloud-based infrastructures (e.g., AWS).
  • Building and validating deep neural networks with modern tools, such as PyTorch or Tensorflow.
  • Interacting with and building RESTful APIs.
  • Managing *nix servers.
  • Writing unit tests.
  • Using continuous integration.
  • Collaborating via Git.

Applicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.

Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.

What We Offer

  • Competitive salary
  • Profit sharing or equity, based on experience
  • Health insurance
  • Generous vacation policy
  • Flexible work-from-home policy
Read Full Job Description
Please send a cover letter, CV, and work examples (including blog posts and open source repositories!) to [email protected]
Apply now
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20 W Kinzie St., Chicago, IL 60654

An Insider's view of Strong Analytics

What's something quirky about your company?

Our vibe alternates between goofy and intellectual. So you never know if you’re going to walk into an argument about the virtues of zero-indexing, Adam vs. SGD, or a gif of Mechagodzilla firing lasers out of his eyes.

Jacob D

Data Scientist

What kinds of technical challenges do you and your team face?

The landscape of modern data science technology is changing nearly every day. We watch these technologies closely to avoid re-inventing the wheel and reap their benefits, while also considering their stability/longevity.

Jade C

Data Scientist

What makes someone successful on your team?

Our clients come to us with challenging and cutting-edge projects. A natural curiosity will take you a long way to diving deep into the problem, getting started on a solution, and pivoting as you encounter obstacles. Likewise, a collaborative spirit within our team — and with our clients — is essential to being effective in data science consulting.

Andrew K

Data Scientist

How do you make yourself accessible to the rest of the team?

We work in close collaboration with our team on every project. Our involvement includes strategic leadership, of course, but we also work hard to empower our team in bringing their own creative solutions to our clients.

Brock F


What are some things you learned at the company?

My absolute favorite part of working at Strong is how much I learn every day. Our team brings together diverse expertise from a variety of backgrounds, which makes it an amazing learning community. Our Friday lab meetings epitomize this and offer a great opportunity to learn something new!

Jacob Z


What are Strong Analytics Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Child Care & Parental Leave Benefits
Flexible Work Schedule
Vacation & Time Off Benefits
Generous PTO
Perks & Discounts
Beer on Tap
Casual Dress
Professional Development Benefits
Job Training & Conferences

Additional Perks + Benefits

Profit sharing means that, when we do well as a company, our employees do well too!

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Please send a cover letter, CV, and work examples (including blog posts and open source repositories!) to [email protected]
Apply now
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