Applied Researcher 2 - San Jose, United States - eBay

eBay

Verified Company

San Jose, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day.

We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the role and the team:

Advertising is one of the fastest growing areas in eBay which in some ways, is defining the future of eBay.

Digital advertising as an industry is growing rapidly, and the landscape is shifting as ecommerce advertisers are finding better value with ecommerce companies like eBay.

As they shift budget from the duopoly of Google and Facebook, it creates a huge opportunity for eBay.

Advertising is also amplifying eBay's ecommerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items.

As an
Applied Researcher within our Advertising team, you will play a pivotal role in developing machine learning models and algorithms to guide advertisers effectively.

This role will also include a scope positioned around data analysis. Your work will directly impact our guidance systems, enhancing ad performance and delivering actionable insights. You will lead our efforts in data analysis, uncovering trends, and driving data-informed decisions that support our advertisers' success.

What you will accomplish:

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ML & DL Solution Value Understanding: Lead comprehensive data analyses to identify trends, insights, interpret experimentation and size opportunities within the advertising domain. Translate complex datasets into understandable and actionable recommendations for both technical and non-technical stakeholders.
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Cross-functional Collaboration: Work closely with product managers, engineers, and other researchers to integrate machine learning insights into our advertising products. Ensure that our advertiser guidance systems are aligned with user needs and business goals.
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Innovation and Research: Stay abreast of the latest developments in machine learning and advertising technologies. Contribute to internal and external research communities by publishing findings, attending conferences, and participating in collaborative projects.
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Technical Mentoring: Mentor junior researchers and data analysts. Share knowledge and best practices in machine learning and data analysis to uplift the team's capabilities.

What you will bring:

Education: Ph.

D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

Experience: 5+ years of experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark). Proficiency in SQL is a must.
Analytical Skills: Exceptional ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. Experience with data visualization tools (e.g., Tableau, PowerBI) is a plus.
Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to nontechnical stakeholders.

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

$135,200 - $205,700
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.

The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave).

Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.