Lead Machine Learning Scientist

| Chicago, IL, USA
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Strong Analytics is seeking Lead Machine Learning Scientists to collaboratively design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. Lead ML Scientists are mission-critical at Strong who lead project teams, design project scopes, work directly with clients to iterate on solutions, and ultimately bring together state-of-the-art solutions to our clients' most pressing problems. This is a "player-coach" role, with time for serious technical contributions and team leadership and mentorship.
At Strong, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. 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 data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

  • Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases
  • Develop, train, and validate machine learning algorithms
  • Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions
  • Help create generalized solutions out of specific use cases
  • Help identify areas of opportunity and improvement within projects
  • Research new techniques and technologies in the space of ML and AI, and evaluate their potential for business use cases
  • Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)

We offer a comprehensive compensation package, including:

  • Competitive salary
  • 100%-covered Health insurance for employees, 75%-covered dependents
  • Four weeks PTO
  • 401(k) with employer contribution matching
  • Personalized monthly perks with matched charitable donations
  • A 100% remote work environment with highly protected work/life balance

Applicants must reside in either the US or Canada and have 3+ years of experience shipping machine learning-based products. All applicants will be considered based on their experience and demonstrated skill/aptitude, not formal education. Candidates will be evaluated based on their experience in the following areas:

  • Statistical modeling and hypothesis testing
  • Designing, training, and validating results from a breadth of machine learning algorithms
  • Writing clean, efficient SQL
  • Building and testing Python applications
  • Building deep neural networks with modern tools, such as PyTorch or Tensorflow
  • Collaborating via Git

Applicants should have the ability to travel infrequently (

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Technology we use

  • Engineering
  • People Operations
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • PandasLibraries
    • ReactLibraries
    • CaffeFrameworks
    • DockerFrameworks
    • FlaskFrameworks
    • GraphQLFrameworks
    • gRPCFrameworks
    • HadoopFrameworks
    • JupyterFrameworks
    • KafkaFrameworks
    • SparkFrameworks
    • TensorFlowFrameworks
    • TorchFrameworks
    • AWS RedshiftDatabases
    • CassandraDatabases
    • ElasticsearchDatabases
    • HiveDatabases
    • MySQLDatabases
    • Neo4jDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • RedisDatabases
    • SnowflakeDatabases
    • TeradataDatabases
    • AWS (Amazon Web Services)Services
    • GitHubServices
    • Google CloudServices
    • Microsoft AzureServices
    • SlackCollaboration
    • ZoomCollaboration

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

Strong Analytics Benefits Overview

Strong provides a comprehensive benefits package and a flexible, rewarding work environment.

Open door policy
Team based strategic planning
Pair programming
Quarterly engagement surveys
Flexible work schedule
Remote work program
Documented equal pay policy
Diversity manifesto
Mean gender pay gap below 10%
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Dental insurance
Vision insurance
Health insurance
Life insurance
Financial & Retirement
401(K) matching
Employee stock purchase plan
Performance bonus
Child Care & Parental Leave Benefits
Generous parental leave
Restricted work hours
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid holidays
Paid sick days
Flexible time off
Office Perks
Company-sponsored happy hours
Onsite gym
Professional Development Benefits
Job training & conferences
Lunch and learns
Promote from within
Mentorship program
Continuing education available during work hours
Paid industry certifications

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