Data Scientist II, Product Analytics & Experimentation (AOL)

AOL is a global media and technology company, representing the best of premium content and innovative platforms. Originally known as America Online, we once connected over 35 million people to the internet, becoming a cultural icon and business behemoth. We recognized digital as the future of media and set out to build a network to enable our company—and our users and partners—to capitalize on this new world. We've always had the drive and innovative thinking to mobilize the future. Now, we have the tools, the reach, and the resources to make this future a reality. We just need YOU!

A Little About Us

The Consumer Analytics team serves as the primary source for data products (experimentation, insights, modeling, etc.). The team’s main objectives are to partner with Product, Editorial, and Marketing stakeholders in their objectives by providing technical guidance and data products that back strategic product decisions. 

As a Data Scientist at AOL, you will shape the future of our audience-facing products and applications. By applying your technical skills, analytical mindset, and product intuition to a very rich data set, you will help define the experiences we build for millions of people around the world. You will collaborate on a wide array of product and business problems with cross-functional partners across Product, Engineering, Research, Marketing, and others. You will use data and analytics to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams.

A Lot About You

Your Day

• Collaborate with cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

• Work with product teams to understand business problems, frame the problem into questions that can be answered with data, formulate analysis plans, analyze data, and derive actionable insights.

• Communicate your findings effectively with product partners and executives to drive product and business decisions.

• Work with product, design, editorial, and engineering teams to provide requirements and guidance on tracking and instrumentation standards, data validation,  A/B test design, set up and measurement.

• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to leadership to develop strategies for our products that serve millions of people.

• Create dashboards and reports to provide transparency to data and metrics.  Drive reporting optimization through continued improvement in production & visualization.

Minimum Requirements

• BS in Statistics, Mathematics, a relevant technical field, or equivalent.

• 3+ years of experience in analytics, using SQL and Python/R.

• 2+ years of experience solving problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution including defining metrics, experiment design, communicating actionable insights.

• Ability to effectively and efficiently communicate the findings to product teams and executives and influence product and business decisions. Ability to explain complex analytical concepts to non-experts.

• Proficient in data visualization tools such as Looker.

Preferred

• MS in Statistics, Mathematics, a relevant technical field, or equivalent.

• Experience leveraging data analytics to define and guide personalization strategies.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $111,000.00 - $231,250.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

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