Search for Senior Scientist roles in San Francisco, focusing on machine learning and applied mathematics, requiring a Ph.D. and at least 2 years of industry experience, with a salary expectation of $183,000 or more.

Okay, I've searched for Senior Scientist roles in San Francisco that require a Ph.D. in quantitative fields, with a focus on machine learning and applied mathematics, and at least 2 years of industry experience. I've also included your salary expectation of $183,000 or more. I found 27 positions that match your criteria.

Senior Scientist

San Francisco, CA

Machine Learning

Ph.D.

2 years + Experience

$183000+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Scientist for Rider at Uber is tasked with optimizing the user experience on the platform by leveraging data to inform product and business decisions. This role is central to understanding the complexities of on-demand transportation dynamics. The primary responsibilities include collaborating with cross-functional teams to gauge business needs, leading research projects, employing statistical and machine learning techniques, and monitoring system performance. This requires a strong foundation in quantitative fields such as applied mathematics or computer science, as well as proven expertise in data manipulation using SQL and Python or R. Candidates will need to harness both hard skills in programming and statistical analysis, along with soft skills such as effective communication and leadership to train junior team members. Success in this role will involve not only technical acuity but also the ability to navigate and resolve ambiguities while collaborating across various teams to deliver data-driven insights that will shape Uber's mobility solutions. Within the first 6-12 months, performance expectations will likely revolve around demonstrating the effectiveness of implemented models and influencing key decisions that affect rider experience across the platform.

Company Analysis:

Uber operates at the forefront of the on-demand transportation industry, characterized by its rapid growth and innovative positioning. As a global platform, it serves a dual mission: enabling movement for people and goods while providing flexible earning opportunities. This puts the Senior Scientist role in a dynamic environment marked by constant transformation, requiring adaptability and reimagination of solutions. The company's culture emphasizes speed, innovation, and a relentless pursuit of improvement, aligning with its mission-driven approach. This fast-paced environment suggests that the candidate must thrive under pressure and be comfortable with ambiguity, often leading initiatives that have wide-ranging implications across the organization. Within the organizational context, this role seems crucial in bridging technical research with strategic product decisions, indicating significant visibility and interaction with leadership as they play a key part in shaping Uber’s products. Hence, strategic alignment is essential; Uber seeks to harness the data-driven insights generated by this role to continuously enhance its services and expand its market capabilities.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to use data to influence a key decision. What was your approach?
Can you describe a specific project where you had to collaborate with cross-functional teams? What was your role?
Describe a situation where you encountered ambiguity in a project. How did you navigate that?
What strategies do you use to present complex data findings to stakeholders?
How would you approach building a model to optimize rider experience? What data factors would you consider?
What statistical methods do you prefer for A/B testing and why?
How comfortable are you using SQL for data analysis in large datasets? Can you give an example of a challenging query you've written?
Imagine Uber is facing a sudden drop in rider satisfaction scores. How would you go about diagnosing the issue?
If you discovered a critical flaw in a model you developed, what steps would you take to address the issue?
Why are you specifically interested in the Senior Scientist role at Uber?
How do you think your previous experiences align with the mission and values of Uber?
What do you perceive as the biggest challenge facing Uber's Rider experience currently?
What opportunities do you see for innovation within the rider experience at Uber?
How do you prioritize tasks when facing tight deadlines and numerous requests from stakeholders?
What questions do you have for us about the team or the projects you'd be working on?

Job Details

Overview Company

Senior Scientist

$183k/y-$203k/y

Uber

16 days ago

Highlight

OnsiteFull-time2+ yearsSenior

Summary

Uber is seeking a Senior Scientist, Rider to join their team in San Francisco, CA. The role involves optimizing the experience and platform for customers using data-driven decisions.

About the Role

As a Senior Scientist for Rider, you will use data to guide product and business decisions, collaborate with cross-functional teams, lead research projects, use statistical and machine learning techniques, monitor system performance, train junior team members, and communicate findings to stakeholders.

About You

Required:

Ph.D. degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, or other quantitative fields.
2+ years of industry experience as a scientist or equivalent.
Ability to use SQL, and Python or R (or similar technologies), to work efficiently with large datasets.
Experience with experimentation and statistics.

Preferred:

Excellent communication skills to lead initiatives and communicate findings with leadership and product teams.
Experience leading key technical projects and influencing the scope and output of others.
Solid programming skills to prototype models in Python (preferably), R, or Java.
Expert in A/B experimentation design, causal inference, machine learning, economics, or optimization.
Experience working with large datasets using Spark or Hive.

Benefits

Base salary range of $183k–$203k for San Francisco, CA-based roles.
Eligibility to participate in Uber's bonus program.
Potential equity award and other types of compensation.
Various benefits as detailed on Uber's careers page.

Uber

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

San Francisco, CA