Data Scientist – Engagement

| Greater NYC Area

Position Outline

As a Senior Data Scientist in the Engagement Mission, you will build data products that drive the way in which technology plays a more meaningful role in fostering connections between our members and the things that make them happier & more successful.

You will work closely with engineers, analysts, product managers and designers to evolve WeWork’s member experience by focusing on creating intelligent environments and connected, consciously-engineered communities in all of our spaces.

The ideal person for this role is highly analytical, feels comfortable bringing structure to complex systems, is passionate about generating hypotheses for business problems, excels at delivering actionable insights, and sees data science as a powerful tool to impact the business through data products rather than as an end in itself.

Responsibilities

  • Work with Product & Engineering teams to identify and prioritize data science opportunities.
  • Build analytical systems that use predictive modeling, recommendation systems, statistical inference, and optimization algorithms to infuse intelligence in products and business workflows.
  • Collaborate with Software Engineers to implement algorithms in production environments.
  • Develop next-generation prediction and optimization algorithms where existing ones either fall short or are inadequate.

Requirements

  • 5+ years of hands-on experience building data products powered by machine learning and/or optimization algorithms in non-academic environments.
  • Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.
  • Meaningful experience with and deep technical understanding of statistical analysis, machine learning (classification, regression, unsupervised, reinforced, etc.), predictive modeling, and optimization algorithms.
  • Strong programming skills with an emphasis on libraries for cleaning, exploring and visualizing data.
  • Strong oral and written communication skills, especially around analytical concepts and methods.
  • Strong work ethic and intellectual curiosity.
  • Masters or Doctoral degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, operations research, quantitative social science).

Nice To Have

  • Experience in Recommendation Systems, Bayesian Inference or NLP

 

WeWork Technology is bridging the gap between physical and digital platforms, providing a delightful, flawless & powerful experience for members and employees. We build software and hardware that enables our members to connect with each other and the space around them like never before.

We augment our community and culture teams through the tools we build. We believe there’s a macro shift toward a new way of working—one focused on a movement towards meaning and purpose. WeWork Technology is proud to be shaping this movement.

We are a team of passionate, fearless and collaborative problem-solvers distributed globally with one goal in mind - to humanize technology across the world.

WeWork is an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Read Full Job Description

Technology we use

  • Engineering
  • Sales & Marketing
    • GolangLanguages
    • JavaLanguages
    • JavascriptLanguages
    • KotlinLanguages
    • PythonLanguages
    • RubyLanguages
    • ScalaLanguages
    • SwiftLanguages
    • ReactLibraries
    • ReduxLibraries
    • SalesforceCRM

Location

Our headquarters in NYC sits in Chelsea, but our growing tech team works from our Chelsea, Greenwich Village, and Union Square offices.

What are WeWork Technology Perks + Benefits

Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Game Room
Some Meals Provided
Happy Hours
Pet Friendly
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
Diversity Program
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