Dropbox
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Data Scientist, Capacity Engineering - Location Flexible

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Role Description

Are you a critical thinker who can help solve ambiguous problems facing infrastructure powering 600M+users?  Are you equally at home explaining your analyses and project recommendations with executives as you would be discussing the technical merits of your solution with wider audiences? If that sounds like you, you might be a great fit for our team!

We are looking a rock star Data Scientist who can jump in and make an impact quickly. This is a unique opportunity were you get to work on both cost and revenue side of the business! You have to think critically and strategically about Dropbox’s infrastructure as a technology, a business and as an operation. For example, you should be comfortable setting up and analyzing A/B tests for our experimentation platform and understand how it impacts to revenue. You also get to drive impact on the cost strategy by building forecasting models to predict infrastructure growth and user growth. As this team continues to grow there's also an opportunity to help shape and guide its expansion through mentorship and advocacy across the company. We hope you'll join us!

Responsibilities

Revenue Strategy

  • Build cool models to find actionable insights around customer experience metrics through funnels, cohort analyses, long-term trends, user segmentation, ML models, and more
  • Create simple, trustworthy data pipelines and automate reporting of surface key metrics
  • Employ experimentation tools to enable targeting of offers and experiences based on user attributes

Cost Strategy 

  • Build scalable and pragmatic statistical forecasting models to predict how 600M+ users impact Dropbox infrastructure needs (Storage/CPU/Memory etc)
  • Develop cost models to predict 3 year infrastructure gross margins and give insights on cost metrics and metric movers to engineering leadership
  • Build and deliver impactful presentations that tell a persuasive story with convictive insights, not just data

Requirements

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative field
  • 4+ years experience doing causal inference, quantitative analyses  and modeling for a technology company (Experience in product/infrastructure data science is a bonus) 
  • Fluency in SQL and statistical programming (e.g., R or python)
  • Experience in ETL methodology for performing Data Profiling, Data Migration, Extraction Transformation, and Loading 
  • A solid understanding of statistical analysis, experimentation, and the common pitfalls of data analysis
  • Good understanding of basic ML techniques just as regressions, tree based models, clustering techniques and SVMs
  • Self-starter: You recognize gaps and drive projects with minimal guidance and focus on making a large impact
  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others
  • Critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions
  • Collaborative: You work effectively with others and win credibility quickly
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Candidate Location Eligibility:
Albuquerque, NM
Ann Arbor, MI
Atlanta, GA
Austin, TX
Baltimore, MD
Baton Rouge, LA
Birmingham, AL
Boise, ID
Boston, MA
Buffalo, NY
Charleston, SC
Charlotte, NC
Chicago, IL
Cincinnati, OH
Cleveland, OH
Colorado, CO
Columbus, OH
Dallas-Fort Worth, TX
Dayton, OH
Des Moines, IA
Detroit, MI
Fayetteville-Springdale-Rogers, AR
Greensboro, NC
Hampton Roads, VA
Hartford, CT
Houston, TX
Huntsville, AL
Indianapolis, IN
Jacksonville, FL
Kansas City, MO
Las Vegas, NV
Lexington, KY
Lincoln, NE
Little Rock, AR
Los Angeles, CA
Louisville, KY
Madison, WI
Memphis, TN
Miami, FL
Milwaukee, WI
Minneapolis–Saint Paul, MN
Nashville, TN
New Orleans, LA
New York City, NY
Ogden, UT
Oklahoma City, OK
Omaha, NE
Orlando, FL
Other US Location
Palm Bay-Melbourne-Titusville
Pensacola, FL
Peoria, IL
Philadelphia, PA
Phoenix – Mesa – Scottsdale, AZ
Pittsburgh, PA
Portland, ME
Portland, OR
Providence, RI
Provo, UT
Raleigh-Durham, NC
Reno, NV
Richmond, VA
Rochester, NY
Sacramento, CA
Salt Lake City, UT
San Antonio, TX
San Diego, CA
San Francisco, CA
San Luis Obispo, CA
Santa Cruz, CA
Seattle, WA
Spokane, WA
St. Louis, MO
Tallahassee, FL
Tampa Bay, FL
Tucson, AZ
Tulsa, OK
Washington DC
Wichita, KS
Wilmington, NC

What are Dropbox Perks + Benefits

Dropbox Benefits Overview

Essentials: Our essential U.S. benefits include medical, dental, and vision plans, retirement planning and 401k programs, life and disability coverage, and coaching and therapy options offered through Modern Health. Across the globe, we provide financial and wellness benefits in the context of what is relevant and beneficial locally.

Revitalizers: Press the reset button with benefits that help you unplug and restore, such as generous PTO with extended breaks to recharge and full free access to the Peloton Corporate Wellness Program.

Enlightened work: We’ve implemented a handful of policies that make your Virtual First work day work for you, including Core Collaboration Hours, business travel benefits, technology subsidies, access to On-Demand work spaces at no cost to employees, and more.

You and yours: No matter what your family structure looks like, you can support your loved ones with paid parental leave, family leave, lactation consultation options, adult and child care resources, and our global adoption/surrogacy policy.

The whole Dropboxer: Benefits to better serve yourself and your community through access to legal services, paid volunteer time off, exclusive discounts with partnered companies, military leave, and a quarterly allowance given to Dropboxers to use on what really matters to them.

Culture
Volunteer in local community
Partners with nonprofits
OKR operational model
Team based strategic planning
Pair programming
Employee resource groups
Employee-led culture committees
Quarterly engagement surveys
Employee awards
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Team workouts
Mental health benefits
Transgender health care benefits
Abortion travel benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Restricted work hours
Return-to-work program post parental leave
Fertility benefits
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid volunteer time
Sabbatical
At Dropbox, this is called 'Recharge'
Paid holidays
Paid sick days
Flexible time off
Office Perks
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Recreational clubs
Relocation assistance
Fitness stipend
Home-office stipend for remote employees
Mother's room
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks
Personal development training
Apprenticeship programs

Additional Perks + Benefits

In order to be successful in our Virtual First environment we needed to make changes that would allow employees to have more control over both where and how they work. Therefore, we embrace “non-linear workdays” with defined core collaboration hours that overlap across time zones. Beyond that, we encourage employees to design their own schedules to balance collaboration with needs for individual focus. We’ve also moved from “all day syncs” to an “async by default” culture, reserving meetings for discussion, debate, and decision-making, and handling all other work in our deep focus hours.

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