Complete our online application form at: https://careers.strong.io/o/data-scientist
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.

At Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. ​This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.

Candidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):

  • Statistical modeling and hypothesis testing.
  • Designing, training, and validating results from a breadth of machine learning algorithms.
  • Writing clean, efficient SQL.
  • Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop).
  • Building Python applications.
  • Deploying applications into cloud-based infrastructures (e.g., AWS).
  • Building deep neural networks with modern tools, such as PyTorch or Tensorflow.
  • Creating and interacting with RESTful APIs.
  • Managing *nix servers.
  • Writing unit tests.
  • 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
  • Four weeks paid vacation
  • Work-from-Home Wednesdays
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Complete our online application form at: https://careers.strong.io/o/data-scientist
Apply now
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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • CaffeFrameworks
    • FlaskFrameworks
    • SparkFrameworks
    • TensorFlowFrameworks
    • TorchFrameworks
    • CassandraDatabases
    • HiveDatabases
    • Maria DBDatabases
    • Microsoft SQL ServerDatabases
    • MongoDBDatabases
    • MySQLDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • RedisDatabases
    • SQLiteDatabases
    • TeradataDatabases

Location

330 N Wabash, Chicago, IL 60611

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

Co-Founder

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

Co-Founder

What are Strong Analytics Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Onsite Gym
Retirement & Stock Options Benefits
401(K) Matching
Acme Co. provides employees with a 401(k) matching plan managed by [provider]. We match 4% of contributions up to 100% of an employee's annual gross pay.
Child Care & Parental Leave Benefits
Flexible Work Schedule
Vacation & Time Off Benefits
Generous PTO
Perks & Discounts
Casual Dress
Stocked Kitchen
Professional Development Benefits
Job Training & Conferences
Cross functional training encouraged
Mentorship program
Our mentorship program includes 1-to-1 program.
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Complete our online application form at: https://careers.strong.io/o/data-scientist
Apply now
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