Principal Data Scientist

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Strong Analytics is seeking a Principal Data Scientist to join our growing team!

Principal Data Scientists take responsibility for designing, executing, and delivering successful projects for our clients. They play a "player coach" role. In this role, you will:

  • Work with clients to scope project requirements and architecture.
  • Orchestrating the project team (data scientists, engineers, and dev-ops) to successfully build out the project roadmap.
  • Diving in at key points to contribute technically (e.g., in data modeling/engineering).
  • Preparing/presenting final deliverables to clients at project updates and final delivery.

Successful applicants will have several years of experience in design, researching, and deploying data products (specifically, machine learning pipelines/APIs, dashboards). Through these projects, you will have developed an experience in working with clients to scope out projects and in presenting your research and final deliverables.

Strong offers a comprehensive compensation package, including:

  • Competitive salary
  • Profit sharing or equity, based on experience
  • 100%-covered Health insurance for employees, 75%-covered dependents
  • Four weeks PTO
  • Work-from-Home Wednesdays
  • 401(k) matching
  • Personalized monthly perks with matched charitable donations

Requirements

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

Technical skills:

  • Statistical modeling
  • Data visualization
  • Machine learning algorithms
  • Causal inference
  • SQL
  • Working with various RDBMS (e.g., Postgres, MySQL) and distributed data systems (e.g., Spark, Hive)
  • Python engineering
  • Cloud services (e.g., AWS)
  • Client skills

Client/project skills:

  • Scoping project requirements
  • Translating requirements into a project development roadmap
  • Creating deliverables (e.g., decks, software, documentation)
  • Leading project meetings

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

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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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