Data Scientist

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Data Scientist

Strong Analytics is a data science consulting and machine learning development firm.  Strong's clients are across all industries, from small to large.  With minimum travel required and a work from home Wednesday’s policy, Strong is not your typical consultancy.  Strong’s three primary areas of expertise are the following:

  • Data Science- research and analytics, data at large scale, e.g. marketing channel efficiency
  • Machine learning development- they help build custom machine learning apps and products for internal and external use for their clients
  • Consulting- how to utilize big data and machine learning on a larger scale to empower businesses

Requirements:

MS/Ph.D. in a quantitative science, or computer science, preferred

2-5 years of experience with Data Science and the following technologies:

  • Knowledge of R/Python
  • SQL
  • Predictive machine learning algorithms
  • Statistical Modeling and Inference
  • Deep learning a plus

 

If you have a passion for quality engineering, big data, and helping businesses transform their data, we’d love to connect!

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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

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

Strong Analytics Benefits Overview

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

Culture
Open door policy
Team based strategic planning
Pair programming
Quarterly engagement surveys
Flexible work schedule
Remote work program
Diversity
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)
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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