Ref#: R0022450

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.

The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Long Term Incentive Plan units, an open Paid Time Off policy, and many region-specific benefits. 

Austin Base Salary Range: 157,000 - 191,000 USD per year

Your job.

As a Data Scientist at Indeed your role is to follow the data. Analyze, visualize, and model job search related data. You will build and implement machine learning models to make timely decisions. You will have access to unparalleled resources within Indeed to grow and develop both personally and professionally.

We are looking for a mixture between a statistician, scientist, machine learning expert and engineer: someone who has passion for building and improving Internet-scale products informed by data. The ideal candidate understands human behavior and knows what to look for in the data.

About you.

You understand that the best managers serve their teams by removing roadblocks and giving individual contributors autonomy and ownership. You have high standards and will take pride in Indeed and push teammates to be better. You have delivered challenging technical solutions at scale. You have led Data Science or Engineering teams, and earned the respect of talented practitioners. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.

* Significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale
* Master’s or PhD., with advanced coursework in statistics, machine learning, programming, or related skills
* 5+ years of industry experience, with expertise in Data Science, Business Analytics, or Data Analysis 
* The ability to guide a team to achieve important goals together
* Expertise in machine learning and statistical modeling
* Strong ability to code in Python
* Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring
* Strong desire to solve tough problems with scientific rigor at scale
* An understanding of the value derived from getting results early and iterating
* Ability to write and present results to both technical and non-technical audiences
* Strong ability to coach Data Scientists, helping them improve their skills and grow their careers
* Passion to answer Product/Engineering questions with data

We get excited about candidates who can:
* Program using R, Python, Java, or C++
* Perform big data modeling work: Hadoop, Pig, Scala, Spark
* Fish for data: SQL, Pandas, MongoDB
* Deploy Data Science solutions: Java, Python, C++
* Can communicate concisely and persuasively with engineers and product managers

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