Data Scientist at Gradle

Gradle Enterprise is a first-of-its-kind product that software teams use to accelerate and optimize Gradle, Maven, and Bazel builds. It comprises several facets including large volume data ingestion and processing, complex data analysis and visualization, and distributed caching and execution systems.
We are applying ranking, classification, clustering, pattern recognition, text summarization, and other analytical tools to developer productivity problems in novel ways to help our customers ship faster with less risk.
Our software is used by some of the world's leading software organizations, such as Netflix, Airbnb, Spotify, and Twitter. We regularly collaborate with these and other users to make our products continuously better.
Profile
We are looking for data scientists with a demonstrated ability to efficiently deliver and maintain innovative statistical, machine learned, and visual solutions as part of a collaborative team.
Our ideal candidates possess a passion for developer productivity, have courage and perseverance to explore complex analytical problems, discern good solutions from great ones with sharp technical skills, adeptly balance exploration and knowledge exploitation, and effectively communicate complex concepts to experts and non-experts.
Responsibilities

Collaborating with customers to understand their developer productivity challenges and explore opportunities
Identifying potential models or algorithms using applied data science principles such as machine learning, statistical modeling, and artificial intelligence
Working with MLOps engineers to process training and eval data
Measuring and improving solution effectiveness
Collaborating with the design team to produce actionable visualizations and insights
Presenting solutions and technical reasoning to experts and non-experts

Minimum qualifications

3 years of practical experience in machine learning, statistics, and/or artificial intelligence
Experience programming in Python and SQL, or other data analysis languages such as R
Working proficiency and communication skills in written and verbal English

Preferred qualifications

Bachelor’s or master’s degree in a quantitative field such as statistics or computer science
Experience programming in Java
Experience working with large datasets
Experience working on developer tools
Systematic problem-solving approach, coupled with effective communication skills
Interest and ability to learn new data science skills and techniques

What we offer

Contributing to leading solutions in the new industry of Developer Productivity Engineering
An automation-focused, test-driven engineering culture
An ambitious and experienced engineering team, dedicated to craft and delivery
Close collaboration with world-class engineers around the globe on novel products
In-person onboarding with your team and yearly, extraordinary company offsite event
Opportunities for growth in technical and managerial responsibilities
Attractive compensation package including company equity

Location

Anywhere in North America with working conditions that allow for seamless collaboration with your colleagues through email, chat, and video streaming

How to apply
The following is required with your application:

Submit your cover letter, your resume, and a build scan link via the form below
Explain in your cover letter why you want to work on the Gradle Enterprise product

Create a build scan for any OSS project and tag it with data-scientist


Next steps
After applying, familiarize yourself with the Gradle Enterprise hiring process to understand the next steps.
About us
We are committed and skilled software engineers, product designers, and marketing experts who are passionate about developer productivity. We take pride in delivering products that are relied upon daily by some of the world's leading software organizations, such as Netflix, LinkedIn, Airbnb, Spotify, and Twitter.
Our team is globally distributed but deeply connected. We value our interpersonal relationships as much as we value our achievements. We are a diverse and inclusive workplace where we learn from each other and together. We welcome people of different backgrounds, experiences, abilities, and perspectives.
Visit our careers page to learn more about the company and see other open positions. Visit Glassdoor to read what current and former Gradle employees have to say about the company.
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