Staff Data Scientist

Key Skills

Data Analysis, Data science techniques, Java Programming, Machine learning techniques, Mathematics, Python Programming, R Programming, SQL, Statistics

Job Description

One of our core principles is a dedication to data-driven decision-making. To do that well, we need data scientists with a strong product sensibility to work alongside our product managers and technical leads.

Our Product Science team is a part of the Indeed Data Science group. While machine learning is one tool in our toolbox, Product Scientists use a variety of skills with the goal of driving business impact using whatever tools necessary. You will use quantitative analysis, data mining, and machine learning techniques to understand how hundreds of millions of jobseekers and employers are interacting on Indeed, and how those interactions are reflected in our data.

Responsibilities

• Work alongside product managers and engineering teams to help guide tactical and strategic product decisions.
• Design and use statistically sound methodologies for evaluating hundreds of tests on thousands of web pages across dozens of business-relevant metrics.
• Work alongside other data scientists and software engineers to expand Indeed's catalog of tools, techniques, and best practices for manipulating and interpreting terabytes of product data.
• Work across a wide range of related areas - data extraction and cleansing, feature engineering, machine learning, exploratory analysis, data quality analysis, experimental analysis.

Who You Are

• Bachelor’s degree required in Computer Science, Mathematics, or Statistics or equivalent field required
• 3 years of professional industry experience in Data Science, Business Analytics, or Data Analysis
• Experience coding in Python, R or another advanced data programming language
• Ability to write and present results to both technical and non-technical audiences
• Experience designing and conducting complex projects

Who We Are

We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people's lives all around the world, one job search at a time.