Data Scientist Ii - Bengaluru, Karnataka, India - Uber

Uber

Verified Company

Bengaluru, Karnataka, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About the Role

The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built.

We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise.

CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products.

We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions.
Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
Develop datadriven business insights and work with crossfunctional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
Basic Qualifications
Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
4+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysisfocused functions
Excellent understanding of statistical principles backed by an academic foundation
Advanced SQL expertise
Experience with either Python or R for data analysis
Significant experience in setting up and evaluation of complex experiments
Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.
Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, 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
Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail
Ability to work in a selfguided manner
Ability to mentor, coach and develop junior team members
Superb communication and organisation skills