Senior Data Scientist

Adobe

Quick summary

Work type: On-site
Location: San Jose · San Francisco
Salary: $163,200–$236,400 / yr
Posted: 82 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $200k

$114k most similar roles pay here $250k

This role pays more than 66% of similar roles. Most pay $126,800–$214,975 — the shaded band above. At the midpoint, this role pays about $200k 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.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Senior Data Scientist

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As a Senior Data Scientist on the Go-To-Market (GTM) Data Science & Analytics team at Adobe, you will play a pivotal role in optimizing the B2C customer journey by leveraging data to drive strategic decisions. Your daily tasks include conducting exploratory data analysis to identify patterns and anomalies in customer behavior, analyzing weekly performance metrics to inform acquisition and retention strategies, and translating complex findings into actionable insights for leadership. You will also contribute to shared code libraries and collaborate with Data Engineering to enhance the team’s technical capabilities. Ideal candidates have 5+ years of experience in a B2C SaaS or e-commerce setting, proficiency in SQL and Python, expertise in data visualization tools like Tableau, and strong skills in statistical methods such as regression and time-series forecasting. This role requires working closely with cross-functional teams to deliver impactful projects that address real-world business challenges at scale.

Skills

Python SQL Spark Databricks Tableau Power BI AWS CI/CD Git Jupyter Notebook Scikit-learn Pandas NumPy Matplotlib Seaborn Kafka Hadoop PostgreSQL MongoDB

What you'll do

Use exploratory data analysis to uncover hidden patterns in the customer journey.
Analyze weekly performance across the GTM funnel to understand acquisition and retention drivers.
Synthesize complex technical findings into clear, actionable narratives for senior leadership.
Contribute to shared code libraries and peer-review complex analyses within the team.
Partner with Data Engineering to optimize data architecture for high-velocity analytics.

What we're looking for

5+ years of experience in data science, applied machine learning, or quantitative analysis.
Expert-level SQL and Python skills for data manipulation and modeling.
Experience with big data platforms like Databricks or Spark.
Strong grasp of probability, regression, time-series forecasting, and causal inference.
Track record of cross-functional collaboration to drive project roadmaps.

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