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Meta Platforms, Inc.
Redmond, WA, United States
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Data Scientist, Product Job Code: REQ-2406-138353 Job Location: Redmond, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $236,474/year to $279,400/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, expe
Job Source: Meta Platforms, Inc.Meta Platforms, Inc.
Seattle, WA, United States
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Data Scientist (Product) Job Code: REQ-2406-139178 Job Location: Seattle, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $166698/year to $196900/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, exper
Job Source: Meta Platforms, Inc.Smartsheet
Clyde Hill, WA, United States
Smartsheet is looking for an experienced Data Scientist to help guide analyses, create insights, and influence decisions. With thousands of subscribing organizations and millions of users there is lots of opportunity to make a meaningful impact and increase growth through data science within Smartsheet. You will use data science skills and work wit
Job Source: SmartsheetMETA
Seattle, WA, United States
Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company
Job Source: METAMETA
Redmond, WA, United States
Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company
Job Source: METAMETA
Seattle, WA, United States
Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company
Job Source: METATik Tok
Seattle, WA, United States
About TikTok U.S. Data Security TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assura
Job Source: Tik TokBill & Melinda Gates Foundation
Seattle, WA, United States
The Foundation We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve
Job Source: Bill & Melinda Gates FoundationRedmond, WA, United States
Summary:
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis 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. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Required Skills:
Data Scientist, Product Analytics Responsibilities:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.)
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications:
Preferred Qualifications:
Masters or Ph.D. Degree in a quantitative field.
Public Compensation:
$109,000/year to $171,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
Email Alert for Data Scientist, Product Analytics jobs in Redmond, WA, United States
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