Data Scientist

Xoom

Early Applicant

3 months ago
Be among the first 50 applicants

Exp: 3-5 Years

Bengaluru / Bangalore, Chennai, India

Job Description

Consumer GADS (Global Analytics and Data Science) shapes the strategy of our Consumer Products at PayPal and Venmo through data driven decision making. P2P (Peer to Peer payments) is a flagship product that youll be working on analytics for as a part of this team.

Job Description:

Your way to impact

You believe in data-driven decisions and use data to answer business questions

You are hyper-analytical, intellectually honest, and passionate about data and A/B experimentation

You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance

You are curious and inquisitive: you love digging into data and uncovering insights

You are motivated by improving the experience customers have with the products you work on

Your day to day

Help to launch, measure, and scale new solutions to improve customers experiences with the PayPal App and website

Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data

Translate ambiguous, unstructured business problems into actionable and data-driven analyses

Size potential impact of new ideas to help prioritize product roadmaps

Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports

Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features

Define and cultivate best practices in analytics instrumentation and experimentation

Support multiple projects at the same time in a fast-paced, results-oriented environment

What do you need to bring

Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees preferred

At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions

Experience influencing product strategy through analyses and data-centric presentations

Understanding of statistics ( e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments

Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex, and potentially messy datasets