Data Scientist, Product Analytics - Retail Analytics Bellevue, WA +2 locations • Data & Analyti[...]

Meta; Bellevue (WA); On-site; USD 206,000 - 281,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to join their innovative team. This role involves developing strategies for world-class shopping experiences in branded stores, collaborating with executives, and leading complex analyses to drive growth. You will be instrumental in defining success metrics and coordinating analytics efforts across teams. If you are passionate about leveraging data to influence business outcomes and thrive in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking company that is transforming the retail landscape with cutting-edge technology and insights.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• 5+ years of experience with data querying and scripting languages.
• 10+ years of experience in complex quantitative analysis.

Responsibilities

• Build the long-term vision and strategy for the retail program.
• Communicate insights and recommendations to cross-functional partners.

Skills

SQL

Python

R

SAS

Matlab

Quantitative Analysis

Communication Skills

Education

Bachelor's degree in Computer Science

Degree in an analytical or scientific field

Job description

Data Scientist, Product Analytics - Retail Analytics

We are seeking a highly skilled Data Scientist (experienced Individual contributor) to join our Reality Labs GTM team. As a key member of the team, you will play a crucial role in developing our 0 to 1 strategy for creating world-class shopping experiences in our first party branded stores (1P). You will work closely with executives to define and develop data platforms, instrumentation, experimentation, and insight synthesis to drive growth in 1P stores.

Responsibilities

1. Help build the long term vision and strategy for 1P retail program
2. Collaborate with executives to define and develop data platforms, instrumentation, and experimentation
3. Work independently to plan, lead, and implement (if needed) complex and timely analyses
4. Effectively communicate insights and recommendations to cross-functional partners and executives
5. Partner with product and engineering teams to identify the most impactful opportunities to improve and create experiences that optimize business outcomes
6. Define success metrics, forecast metric changes, and set team/organization goals
7. Support developing Product/ GTM roadmaps and coordinate analytics efforts across teams

Minimum Qualifications

1. Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
2. 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
3. 10+ years of experience doing complex quantitative analysis in product analytics
4. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
5. Experience leading complex analytics projects across multiple functions and stakeholders
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

1. Experience communicating complex technical topics in a clear, precise, and actionable manner
2. Background in Direct to Consumer Retail store analytics (Digital and B&M)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

$206,000/year to $281,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.