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As a Data Science Analyst 2 at eBay, you will be responsible for building machine learning models, performing data mining, and deploying machine learning technologies on the eBay platform. You will analyze data correlation, design technical system layers, and develop innovative data analytics solutions to meet market needs in a time-critical environment.

JOB DESCRIPTION

eBay, Inc seeks Data Science Analyst 2 to build machine learning models and perform data mining. Design, implement and deploy machine learning technologies into reliable and scalable eBay platform development services. Perform exploratory data analysis to understand the correlation between target performance and platform features. Segment and design technical system layers to support componentized and layered software application development, including business logic functionality and database/component repository access. Identify and fix performance, scalability, and other software live issues in a very time critical environment. Develop innovative data analytics and technical solutions that meet market needs with respect to functionality, performance, availability, scalability, reliability, realistic implementation schedules, and adherence to platform development goals and principles. Estimate software engineering effort, plan feature implementations, and rollout complex RESTful services. Design, code, and test major software application feature and work jointly with other team members to deliver complex changes. Telecommuting permitted: work may be performed from anywhere in the US.

 

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Information Management, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.
 

Special Skill Requirements:

1. Machine Learning

2. Python

3. R

SQL

4. Data Science

5. Big Data Analytics

6. Statistical Analysis

7. Tableau

8. A/B Testing

9. HTML, CSS


Base Salary: $140,000 to $205,700. per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

 

Must be legally authorized to work in the U.S. without sponsorship.

 

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.

 

eBay Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement.

 

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

 

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Set alert for similar jobsData Science Analyst 2 role in San Jose, United States
eBay Logo

Company

eBay

Job Posted

a year ago

Job Type

Full-time

WorkMode

Hybrid

Experience Level

3-7 years

Category

Data Science

Locations

San Jose, California, United States

Qualification

Bachelor or Master

Applicants

Be an early applicant

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