Senior Data Science Engineer

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity:

Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It's a natural extension of the technology Adobe has produced over the past 40 years. At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe.

We're seeking candidates to build and improve data architecture supporting Firefly's growth. If you love AI & creativity, excel at data-driven decisions, are a problem solver, and enjoy innovative environments, please apply!

What you'll do:

• Build and continuously optimize data architecture to address the evolving data needs of our rapidly growing business.
• Own the data mapping, business logic, transformations, and data quality.
• Continuously architect, build, and launch new data models that enable intuitive analytics for the analytics team and broader data community for Firefly.
• Design and implement data pipelines to ETL/ELT data from multiple sources into a central data-warehouse/repository.
• Partner closely with data analysts, data scientists, data engineering, software engineering, and product teams across multiple products to anticipate the next steps in evolving data architecture.
• Write efficient code to convert raw data into accessible models using SQL, Python, Spark, Databricks, Airflow, Azure, AWS, and more.
• Become the go-to person for data expertise in the broader Firefly team and own data quality for the pipelines we build.
• Provide thought leadership to data analysts and the data-driven community by actively mentoring teammates in standard methodologies to self-serve using the most efficient code and techniques.
• Build and complete data governance procedures to ensure data security, privacy, and compliance.
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.
• Design, architect, and build data insight dashboards and visualizations.

What you'll need to succeed:

• BS or MS or PhD in an analytical field: statistics, applied mathematics, computer science, engineering, economics, physics, etc. or equivalent practical experience.
• 5+ years of proficiency in Python and SQL.
• 3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure).
• Strong experience querying and manipulating large datasets using SQL-like languages on the cloud (Databricks, Spark-SQL, Airflow).
• Experience with design, development, and implementation of highly scalable, high-volume data architectures and systems for different business areas, developing and maintaining in an agile environment.
• Strong fundamentals in statistics as well as demonstrated proficiencies in data visualizations.
• Ability to support multiple ongoing projects in a fast-paced environment.
• Strong background in data warehousing, data modeling, data access, and data storage techniques.
• Excellent communication and relationship building skills.

Nice to have:

• Experience crafting dashboards in Tableau or PowerBI.
• Expert in one or more data science tools like Pandas, NumPy, etc.
• Experience with Adobe Analytics.
• Experience with A/B testing and sampling methods.
• Experience building data processing machine learning models in a product environment.
• Familiarity with ML for propensity estimation and causal inference with observational data or experimental designs.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,600 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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