Data Scientist II

About The Role

The TA Analytics team's goal is to raise the bar for all of Talent Acquisition when it comes to data literacy. A successful candidate is a proactive thinker, flexible with shifting project priorities and pressure. You demonstrate confidence in handling problems, as well as the ability to work with a variety of different people. As a seasoned Data Scientist, you will utilize a variety of tools and approaches to answer complex questions from myriad stakeholders.

You will also innovate new ways to analyze our data for more efficient and effective decision‑making. You are a highly motivated and energetic self‑starter, directly working with leaders to ensure that they are getting all the support needed to make meaningful, informed decisions (which may not be what they are asking for, but what they need). You will proactively identify new areas of analytical features and enhancements, including AI, that will further increase data quality, reliability, and insightfulness.

• Help build a new analytics suite that helps prove and increase the impact that TA has on the business.
• Innovate new ways to analyze TA/People data that drives incremental business impact.
• Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to partners and stakeholders.
• Work closely with the Engineering teams to create data instrumentation and improve data quality.
• Collaborate with cross‑functional organizations to find opportunities, design, implement and analyze experiments, and perform deep dives for better decision‑making.
• Communicate optimally with non‑technical customers on technical topics.

• Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
• 4+ years experience as a Data Scientist, Product Analyst, Sr. Data Analyst, or other data analysis‑focused functions.
• Excellent understanding of statistical and scientific principles.
• Advanced SQL expertise.
• Experience with either Python or R for data analysis.
• Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways.
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Looker, or similar).
• Proven aptitude toward Data Storytelling and Root Cause Analysis using data.
• Ability to learn and adapt to new methodologies for data collection and analysis.

• Advanced experience with experimental design and statistical methods such as causal inference.
• Experience in utilizing AI features in reporting to enhance reporting products and deliverables.
• Ability to communicate effectively and manage relationships with partners coming from both technical and non‑technical backgrounds.
• Excellent judgment, critical thinking, and decision‑making skills.
• Proven ability to identify key stakeholders and manage high expectations.

For New York, NY / San Francisco, CA / Seattle, WA: base salary range USD $142,000 to USD $158,000 per year. All U.S. locations: eligible for Uber's bonus program, equity award, 401(k) plan, and other benefits. Benefits details available at

Uber