Spin is hiring a

Senior Data Scientist - Analytics

San Francisco, United States

 

About Spin

Spin is a fast-growing micromobility company committed to a world with clean air, liveable cities, safe streets, and widespread access to convenient, affordable transportation. If you’re searching for a top-tier career where you can make a difference and dynamically collaborate within a creative, lively environment—Spin welcomes you!

We’re passionate about transportation and technology. The work we accomplish fulfills a sense of meaning and purpose, which goes beyond the traditional dimensions of a workplace. Our products and initiatives directly influence people’s lives, which is proven by our customers' feedback.

Founded in 2017, and now a subsidiary of Ford Motor Company, we have worked together with cities, campuses, community groups, and businesses to expand internationally. Even as we expand, we maintain the close feeling of a small business, with “fireside chats” led by our company’s founders, weekly OKR pop-up videos, music-infused presentations at our All Hands meetings, and more. During this time of working remotely, our creativity and shared goals have kept us united and bonded within our virtual community.

We are a diverse team of artists, engineers, designers, urban planners, policymakers, marketers, and operators. We believe in inclusivity and build powerful alliances to fulfill our goals and move our mission forward. Above all, we at Spin are connected by our values and #BeOrange spirit, which represents unity, purpose, passion, and creativity. 

About the Role

 

We are looking for a Lead Data Scientist to join our Analytics team to generate insights and build data products that will allow us to answer some of our toughest operational questions to help us innovate and grow. You will be solving complex business problems, performing statistical analyses and identifying and solving data quality issues. You will be collaborating with engineering and operations to define data requirements, identify new opportunities and shape strategic direction. If you are passionate about using data to solve hard problems, we want to hear from you!

 

The Team

 

Our team consists of people that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.

 

We work in small collaborative groups to keep processes and overhead low, so we have a lot of trust and autonomy to perform the work required to build the best product.

Responsibilities

  • Analyze data and develop data models to enable self-serve insights at scale
  • Define business metrics that measure the health of our business and product
  • Collaborate with Operations to translate business insights into decisions and actions
  • Find opportunities for growth and efficiency
  • Develop dashboards and frameworks to monitor Operations efficiency
  • Design and analyze A/B and multivariate tests to measure business impact
  • Lead technical projects from inception to completion
  • Define best practices and mentor junior team members

Qualifications

  • Advanced degree in a quantitative field like analytics, statistics, economics, computer science, or applied math
  • Minimum of 7 years of relevant experience in data science or analytics role
  • Expert in SQL
  • Proficient in Python (preferred) or R including data science and visualization libraries
  • Extensive experience creating data visualizations with tools like Looker (preferred), Tableau or Mode
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business
  • Experience leading technical projects

Preferred Qualifications

  • Experience with Github / Gitlab and source control
  • Experience contributing to or developing an ETL using such tools as Airflow and dbt
  • Experience working with Operations and/or optimization techniques
  • Experience measuring impact using causal inference

Benefits & Perks

  • Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership
  • Competitive health benefits
  • Unlimited PTO for salaried roles
  • Pre-tax commuter benefits
  • Monthly cell phone bill stipend
  • Wellness perk for salaried roles 

Spin is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful matter. We celebrate diversity and are committed to creating an inclusive environment for all individuals. Spin treats all employees and job applicants on the basis of merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military and veteran status, or any other characteristic protected by state or federal law. Spin also considers qualified applicants with criminal histories, consistent with applicable local, state, and federal law.

 

Spin is committed to providing reasonable accommodations for qualified individuals with disabilities in its job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

 

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