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Staff Data Scientist
Getaround San Francisco, CA
Apply
$142k-175k (estimate)
Full Time 3 Days Ago
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Getaround is Hiring a Staff Data Scientist Near San Francisco, CA

Who we are
Getaround connects safe, convenient, and affordable cars with people who need them to live and work. Our community includes guests who rely on our cars for on-demand mobility and hosts who share cars on our platform including those who operate their own car-sharing businesses. 
Our connected car technology allows guests to book and unlock a wide variety of vehicles directly from our app without ever having to meet anyone in person, carry an access card, wait in line, or coordinate picking up keys. Cars are parked 22 hours a day on average. When we share cars, we don’t need as many on the road, which means fewer accidents, reduced traffic, and less space required for parking. Car sharing modernizes mobility by allowing people to connect multiple forms of efficient transportation for any type of use case.
Studies have shown that when car sharing is available, people drive less and drive vehicles more appropriate for their use case, which can reduce household carbon emissions by up to 40%. Also, shared cars are used more frequently and retired more quickly, accelerating the adoption of newer, more energy-efficient vehicles. 
The Opportunity
Getaround is looking for an experienced Senior Data Scientist to help the organization make decisions that better serve our users and the marketplace. You will have the opportunity to lead foundation work in marketplace dynamics, experimentation, pricing, claims, fraud, customer analytics, and more. More than building ML models, this role will require finding creative ways to quantitatively frame complex problems in a multi-sided marketplace on different timescales. You will work closely with our Product, Engineering, Growth, Marketing, Operations, Claims, and Business Intelligence teams to help discover new opportunities, define the product roadmap, and drive strategic initiatives. The team is based in San Francisco and we are fully remote.

What You'll Do

  • Forecast the two-sided marketplace and model its dynamics to optimize pricing and growth strategy, while working closely with Operations and Claims/Actuarial teams
  • Contribute to design of an experimentation platform including tools, processes, and best practices for causal inference and actionable interpretation
  • Analyze marketplace participants to identify usage patterns and anomalous behavior to understand how and why people use our product
  • Distill complex data and findings into understandable narratives, communicate with cross-functional stakeholders and make actionable recommendations
  • Find opportunities to improve product efficiency and revenue performance, limit unwanted behavior through predictive and prescriptive analytics

What You'll Bring

  • 5 years experience in a role focused on applied statistics, data science or econometric modeling with a degree in related quantitative field
  • Expertise in R or Python for statistical analysis and building machine learning models
  • Expertise in using SQL for data extraction and transformation
  • Experience in building predictive models for pricing, forecasting, or recommendation
  • Experience in product experimentation and causal inference
  • High level of attention to detail, ability to give detailed feedback on complex quantitative projects, a drive for comprehensive understanding and an unwillingness to accept conventional wisdom at face value
  • Strong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholders

Additional Awesomeness

  • Experience with any part of our data stack: Airflow, BigQuery, dbt, Looker, and git would be helpful, but not a requirement

Benefits and Perks

  • 🌎 Remote First Workplace, with flexible work hours (we mean it!)
  • 💰Competitive salary and generous Stock Options
  • 💫401k plus platinum plans for medical, dental, vision, life, and disability benefits
  • 📝 Annual Work Smarter stipend to optimize your home office and individual wellness needs
  • 🧠Free Access to our Udemy learning portal and annual education stipend to focus on your career growth and development
  • 🏖Flexible PTO policy and monthly Wellness Days to reset and recharge
  • 💻Virtual events to connect with your fellow Getarounders, including educational speakers, cooking sessions, game nights, mixology classes and ! 
  • 🤝 A company culture that keeps Diversity, Equity and Inclusion top of mind, thanks to our dedicated Task Force. We are committed to being a place where you’re empowered to bring your full self to work
  • 🗓 Monthly Getaround credits and discounts for you, your friends and family
#LI-Remote
At Getaround, we are proud to be an Equal Opportunity Employer. We believe that no matter your race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, your perspective has value.
Come join us in continuing to make Getaround a great place to work!

Job Summary

JOB TYPE

Full Time

SALARY

$142k-175k (estimate)

POST DATE

05/04/2024

EXPIRATION DATE

05/20/2024

WEBSITE

getaround.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

200 - 500

FOUNDED

2011

TYPE

Private

CEO

SAM ZAID

REVENUE

$50M - $200M

INDUSTRY

Consumer Services

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About Getaround

Getaround is a peer-to-peer vehicle sharing platform that allows drivers to rent cars from private car owners.

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The following is the career advancement route for Staff Data Scientist positions, which can be used as a reference in future career path planning. As a Staff Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Staff Data Scientist. You can explore the career advancement for a Staff Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Staff Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Staff Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data.

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These professionals are tasked with developing statistical learning models for data analysis and must have experience using statistical tools.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Staff Data Scientist jobs

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems.

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A data scientist’s role combines computer science, statistics, and mathematics.

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Data scientists need to be critical thinkers, to be able to apply objective analysis of facts on a given topic or problem before formulating opinions or rendering judgments.

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A data scientist needs to have experience but also have the ability to suspend belief.

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A data scientist not only has to be able to understand the databases for himself, but also to be able to help others understand them.

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