Data Scientist

Key Skills

A/B Testing, Apache Hadoop, Apache Hive, Apache Pig, Data Modeling, Data science techniques, Effective communication skills, ETL frameworks, KPI, MapReduce, MySQL, Oracle, PowerBI, Predictive Modeling, Python Programming, QlikView, R Programming, SAS, Spark Core, SQL, SQL Server, Tableau

Job Description

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!

Search is a critical part of Adobe’s Cloud offering. Creative professionals and novice users alike need quick access to their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos and beyond. They need to find and discover what they’ve created, the things that have been shared with them, and even search marketplace such as Adobe Stock or community such as Behance.

Beyond Search, Adobe’s mission is to change the world through digital experiences. As the global leader in digital media and marketing solutions, Adobe helps customers create, publish and monetize great content anywhere, on any platform or device. Adobe Sensei is the AI platform that allows us to supercharge our customers’ productivity. It uses artificial intelligence (AI) and machine learning to help you discover opportunities that are hidden, make tedious processes fast, and show you which data insights matter — and when they matter.

We use machine learning models and predict services to power search context, relevancy and ranking Adobe product lines such as Adobe’s Creative Cloud product, Marketing Cloud, and Document Cloud by enabling the world’s best creative tools, leading cloud services for managing creative assets, and the leading marketplace such as Adobe Stock. The search platform caters to millions of users and billions of entities.

As a Data Scientist, you will play a pivotal role in transforming data into valuable insights, enabling informed decision-making and driving our strategic initiatives forward.

Responsibilities:

• Create and optimize python and SQL queries to extract and manipulate data efficiently.
• Utilize advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
• Develop and maintain dashboards, reports, and data visualizations using BI tools (e.g., Tableau, Power BI) to effectively present key insights to stakeholders.
• Identify trends, patterns, and anomalies in data, and provide actionable recommendations based on findings.
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
• Design and implement data models, data warehouses, and ETL processes to support business intelligence initiatives.
• Stay up-to-date with emerging technologies and trends in the business intelligence field, and recommend innovative solutions
• Partner with product management / engineering to set KPIs, build & support dashboards/reports that measure these KPIs to drive engagement

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
• 8-12 years of relevant work experience in business intelligence, data analysis, or a similar role.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling principles.
• Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL).
• Hands-on experience with business intelligence tools (e.g., Tableau, Power BI, QlikView).
• Knowledge of data visualization best practices and the ability to create compelling visualizations.
• Familiarity with statistical analysis techniques and tools (e.g., R, Python, SAS) is a plus.
• Strong analytical mindset with the ability to dissect complex problems and derive actionable insights.
• Ability to translate business requirements into data-driven solutions.
• Can communicate clearly, concisely, effectively across multiple levels within the organization, ability to transform data into clear presentations for senior leaders
• Good understanding of A/B testing

Would be helpful:

• A passion for and familiarity with Adobe's products
• Experience and understanding of search related KPIs and instrumentation practices
• Experience with big data techniques (Hadoop, MapReduce, Spark) and querying tools (such as Hive, Pig, Spark).
• Working experience with machine learning and predictive modeling; Familiar with model performance metrics.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.