Senior Data Science Engineer

Adobe

Quick summary

Work type: On-site
Location: San Jose
Salary: $163,200–$236,400 / yr
Posted: 73 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $200k

$104k most similar roles pay here $251k

This role pays more than 72% of similar roles. Most pay $135,000–$209,000 — the shaded band above. At the midpoint, this role pays about $200k versus about $172k 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 339 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 339 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Senior Data Science Engineer

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As a Senior Data Science Engineer at Adobe, you will join a forward-thinking team dedicated to shaping the future of digital experiences. Your role involves developing and implementing advanced models to solve complex problems, collaborating with cross-functional teams to define project requirements and deliverables, and ensuring data accuracy through rigorous methodologies. You will also lead initiatives to enhance the performance and scalability of data platforms while competing in a dynamic environment to deploy innovative solutions. The ideal candidate possesses strong expertise in statistical analysis, machine learning, and data mining, along with proficiency in programming languages such as Python, R, or Scala, and experience with big data technologies like Hadoop, Spark, or Kafka.

Skills

Python R Scala Hadoop Spark Kafka CI/CD

What you'll do

Develop and implement data science models to solve complex problems.
Use methodologies to ensure accuracy and reliability of data and models.
Analyze large datasets to provide actionable insights for business decisions.
Lead initiatives to enhance the performance and scalability of data platforms.
Work in a dynamic environment to deliver innovative solutions efficiently.

What we're looking for

7+ years of practical experience in data science or equivalent education
Expertise in statistical analysis, machine learning, and data mining techniques
Proficiency in Python, R, Scala, or similar programming languages
Experience with big data technologies like Hadoop, Spark, Kafka
Strong communication skills and ability to work collaboratively in teams
Capability to adhere to deadlines while maintaining high-quality standards

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