Staff Data Scientist

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 176,000 - 220,000; Full time

Benefits offered by this job

Health insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) with company match

Paid time off

Parental leave

Commuter benefits

Pink membership

Job summary

United States Digital Space LLC is seeking a Data Scientist, Decisions in the Rider team, to shape rider and partner product vision through data and analytics. You will identify opportunities, design experiments, and measure impact while partnering with product, engineering, design, research, marketing and business development to deliver end-to-end products.

You will work on technical problems spanning experiments, modeling, and causal inference with leadership exposure and collaboration across

Qualifications

• MS or PhD in a quantitative field with substantial research or industry experience.
• Strong SQL, Python or R proficiency for data analysis.
• Ability to design and analyze experiments and interpret results for stakeholders.
• Experience leading or mentoring a team of data scientists or equivalent.
• Excellent communication of complex analyses to cross-functional teams.

Responsibilities

• Drive Rider segment and partner analytics roadmap with cross-functional partners.
• Design experiments and measure impact on rider and marketplace outcomes.
• Build and present data-driven recommendations to executives and product leaders.
• Mentor junior team members and lead code reviews for analytics projects.
• Collaborate with product, engineering, design, and marketing to ship data-driven features.

Skills

SQL

Python/R

Data science

Experimentation

Communication

Education

MS/PhD in quantitative field

Tools

ETL pipelines

Job description

At the company, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of the company’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products.

As a Data Scientist, Decisions in the Rider team, you will leverage data and apply analytical thinking and inference to shape our rider and partner product vision and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, research, marketing and business development to deliver products end-to-end. You will also collaborate and build alignment with adjacent teams outside of Rider to balance driver, rider and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

Responsibilities:

• Drive roadmap across Rider Segments, Loyalty and Partnerships teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address.
• Partner with org leads in product, engineering, UX research, design and marketing to initiate, design, develop and scale zero-to-one products and drive business strategy through data-centric presentations
• Define and maintain key objectives to align with the overarching goals of Rider, Marketplace and the company.
• Apply modeling, advanced analytics, experimentation and causal inference techniques to drive decision-making at the company.
• Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations
• Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams
• Provide technical guidance and mentorship to junior team members on solution design, implementation, as well as lead code reviews.

Experience:

• M.S. and at least 6 or Ph.D. and at least 4 years of relevant work experience
• Degree in economics, applied math, statistics, engineering or other quantitative fields; strong preference for M.S.+
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Fluency in programming, especially with data science and visualization libraries in Python or R
• Technical leadership experience with a team of decisions and algorithms data scientists, interfacing VP or C-level executives.
• Experience designing and analyzing complex A/B experiments, and communicating results and recommendations to cross-functional stakeholders
• Strong oral and written communication skills (i.e, business writing, presentation building & delivery, executive briefings)
• Ability to build relationships and collaborate with senior cross-functional stakeholders to drive shared outcomes
• Experience working with ETL pipelines a plus

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly the company credits and complimentary the company Pink membership

the company is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

the company highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks the company offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.