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Senior Data Scientist - Ads Optimization

Company: Indeed
Location: Sunnyvale
Posted on: January 11, 2022

Job Description:

Your Job
This role sits within the SMB Ads Optimization Team. At Indeed, SMB Ads are sponsored jobs created by employers that are looking for the right candidates in Indeed's marketplace. We decide which sponsored jobs will be presented to job seekers in different channels by considering the employer's willingness to pay. In Indeed's search, one of Indeed's main channels, we do this by solving an auction at search time. However, in general, we combine multiple bidding and pricing strategies with optimization algorithms to define the right pricing strategy at the right moment.
As a Data Scientist in the SMB Ads Optimization team, your role is to design and build different mechanisms to find the right value to charge our customers. We are looking for a mixture of statistician, scientist, machine learning expert, and engineer: someone who has passion for building and improving Internet-scale products informed by data. You will be directly influencing Indeed's ads platform's future and responsible for improving our marketplace experimentation strategy. Last but not least, you will spend time understanding and making sense of highly non-linear systems while figuring out how to optimize them.
The SMB Ads Optimization team's primary objective is to help people get jobs. To achieve this, we build systems to decide when, where, and how much an employer's budget should be spent to maximize the probability of hire. We work very closely with software engineers, product managers, data scientists, and many other functions working from the San Francisco Bay Area, Austin, Seattle, and Tokyo. You will be surrounded by smart, dedicated, and nice people that genuinely believe in the companies' mission.
Responsibilities Conceptualize, analyze, build, test, and implement models that utilize various and diverse data sets to solve problems related to the employment and recruiting industries.
Build and implement machine learning models, testing frameworks, and visualizations to make timely decisions and influence the product roadmap.
Proactively research data and identify opportunities in the data to drive the product roadmap.
Evaluate data's big picture to solve business problems rather than focusing on metrics alone/
Understand human behavior and know what to look for in the data.
Communicate concisely and persuasively with engineers, product managers, and other functions. Helps identify ways to improve data quality and analysis. Utilizes a solid understanding of Indeed's business fundamentals.

Who You Are
BS in Computer Science, Statistics, Mathematics, or a closely related quantitative field.
3+ years of industry experience, with expertise in Data Science or Machine Learning engineering.
Expertise in statistical modeling and machine learning.
Passion for answering Product/Engineering questions with data.
Strong ability to code in Python, Java, etc.

We get excited about candidates who
Have full stack experience in data collection, aggregation, analysis, visualization, productization, and monitoring of data science products.
Expertise in applied machine learning, preferably in advertising, auctions, bidding or pricing systems.
Experience running controlled online experiments and taking data-driven decisions for improving machine learning-based products. Preferably in non-independent settings, like marketplaces.
Can do small data modeling work: R, Python, Julia, Octave, Matlab.
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, product managers, and other non-technical functions.

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 2021)
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on 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, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.
Salary Range Transparency
SF Bay Area 153,000 - 223,000 USD per year

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 at least one week in advance of your interview.
Our Policies and Benefits
View Indeed's Applicant Privacy and Accessibility Policies - Learn about our global employee perks, programs and benefits -
Where legally permitted, Indeed requires all individuals attending or working out of Indeed offices or visiting Indeed clients to be fully vaccinated against COVID-19. For positions that can only be performed at an Indeed office, candidates must be fully vaccinated against COVID-19 and present acceptable proof of vaccination by the date of hire as a condition of employment. Indeed will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19 there should have been a two week period after receiving the second dose (or any government recommended booster shot) in a 2-dose COVID-19 vaccine series, or a two week period after receiving a single-dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.

Keywords: Indeed, Sunnyvale , Senior Data Scientist - Ads Optimization, Other , Sunnyvale, California

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