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.

---- What You Will Do ----

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

---- Basic Qualifications ----

1. Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
2. 4+ years experience as a Data Scientist, Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
3. Excellent understanding of statistical and scientific principles

Advanced SQL expertise:

1. Experience with either Python or R for data analysis
2. Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways.
3. Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Looker, or similar)
4. Proven aptitude toward Data Storytelling and Root Cause Analysis using data
5. Ability to learn and adapt to new methodologies for data collection and analysis

---- Preferred Qualifications ----

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

• For New York, NY-based roles: The base salary range for this role is USD**$142,000 per year**

• USD**$158,000 per year**.

• For San Francisco, CA-based roles: The base salary range for this role is USD**$142,000 per year**

• USD**$158,000 per year**.

• For Seattle, WA-based roles: The base salary range for this role is USD**$142,000 per year**

• USD**$158,000 per year**.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.