Data Scientist

Adobe

Quick summary

Work type
On-site
Location
San Francisco
Salary
$138,600–$200,700 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $170k
$87k most similar roles pay here $213k

This role pays more than 69% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $170k versus about $154k 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 319 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 319 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Data Scientist

As a Data Scientist on Adobe’s Monetization Growth team, you will leverage statistical and machine learning techniques to analyze large datasets and drive customer success through data-driven decision-making. Your daily tasks include conducting A/B experiments, identifying biases in data collection, and synthesizing insights into actionable recommendations for product improvements. You will work with semi-structured or unstructured data from various sources, collaborating closely with cross-functional teams to understand customer behavior and pain points. The ideal candidate holds a Master’s or PhD in Computer Science, Data Science, Statistics, or a related field, with at least 4 years of experience as a Data Scientist. Proficiency in Python and SQL is essential, along with hands-on experience using big data platforms like Databricks, Apache Spark, or Hadoop. Strong communication skills are crucial for effectively conveying complex insights to stakeholders.

What you'll do

  • Conduct statistical analysis of user revenue growth programs and A/B experiments to identify actionable insights.
  • Interpret complex data results and communicate findings through effective visualization techniques.
  • Specialize in integrating sparse and noisy semi-structured or unstructured data from various sources.
  • Collaborate with cross-functional teams to understand customer behavior and recommend improvements.
  • Use machine learning techniques to extract meaningful information from large datasets for decision-making.

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 related field.

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