Your job

The role of Data Science at Indeed is to follow the data. We log, analyze, visualize, and model terabytes of job search data. Our Data Scientists build and implement machine learning models to make timely decisions. Each of us is a mixture of a statistician, scientist, machine learning expert, and engineer. We have a passion for building and improving Internet-scale products. We seek to understand human behavior via careful experimentation and analysis, to "help people get jobs".

The SMB Monetization Group focuses on growth and monetization for Indeed's flagship employer product. Every day, we help employers around the world post jobs and find the best candidates. Our team works on many of the highest impact strategic initiatives at the company's marketplace.

You will be responsible for the team that defines the value proposition for small to medium businesses. The Monetization team builds experiences that help employers select the right products to help them make a hire.

Who You Are

You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality Data Science solutions and lead others to do the same.

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 like we do as well as push us 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.

Requirements:

• Ph.D. or M.S. in a quantitative field such as Computer Science, Statistics or Mathematics
• Significant prior success as a Data Scientist Manager (3+ direct reports) working on challenging problems at scale (Industry experience)
• 7+ years of industrial Data Science experience, with expertise in machine learning and statistical modeling
• The ability to guide a team to achieve important goals together
• Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of Data Science products
• Strong desire to solve tough problems with scientific rigour at scale
• An understanding of the value derived from getting results early and iterating
• 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 do small data modeling work: Python, R, Julia, Octave
• Can do big data modeling work: Hadoop, Pig, Scala, Spark
• Can fish for data: SQL, Pandas, MongoDB
• Can deploy Data Science solutions: Java, Python, C++
• Can communicate concisely and persuasively with engineers and product managers

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.

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*comScore Total Visits, March 2020)

Work in San Francisco

Looking to make your mark in Silicon Valley? We're hiring Software Engineers, Product Managers, Design Technologists and Data Scientists who crave challenges, want to move fast and work with the tools and resources of an established company, while having the impact of a startup environment. Our formula for success: impact > hours. Join an industry leader and bring your energy and expertise to our tech teams in San Francisco.

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at 1-855-567-7767, or by email at TAhelp@indeed.com at least one week in advance of your interview.

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