Data Scientist

Adobe

Quick summary

Work type: On-site
Location: San Jose, CA · San Francisco, CA
Salary: $138,600–$200,700 / yr
Posted: 2 days ago

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Competitive pay

How this pay compares to similar roles

Similar $171k

This role $170k

$114k most similar roles pay here $231k

This role pays more than 55% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $170k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 177 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 177 roles with salary data.

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At a glance

TL;DR · Data Scientist

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As a Data Scientist on Adobe’s Monetization Growth team, you will play a pivotal role in analyzing user revenue growth programs and A/B experiments to uncover actionable insights that drive business decisions. Your day-to-day responsibilities include conducting statistical analyses, identifying data biases, and synthesizing results into compelling visual stories for stakeholders. You will also specialize in integrating sparse and noisy semi-structured or unstructured data from various sources to provide a comprehensive view of customer behavior and pain points. This role requires expertise in Python and SQL, experience with big data platforms like Databricks or Apache Spark, and strong communication skills to collaborate effectively across multiple functions within the organization.

Skills

Python SQL Apache Spark Databricks Hadoop A/B testing Data storytelling Visualization Statistics Machine Learning Data Analysis Big Data CI/CD

What you'll do

Conduct statistical analysis of user revenue growth programs and A/B experiments to identify actionable insights.
Interpret complex data findings and communicate results through effective visualization techniques.
Integrate sparse and noisy semi-structured or unstructured data from various sources for comprehensive analysis.
Collaborate with cross-functional teams to understand customer behavior and provide recommendations for product improvements.
Utilize programming languages like Python and SQL, along with big data platforms, to handle large datasets efficiently.

What we're looking for

Minimum 4+ years of experience as a Data Scientist or in a similar role.
Expertise in statistical analysis, A/B testing, and hypothesis testing.
Proficiency with big data platforms like Databricks, Apache Spark, or Hadoop.
Strong skills in Python and SQL for data manipulation and analysis.
Ability to interpret complex data and communicate insights effectively through storytelling.
Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.

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