Data Scientist, Product Position Available In New York, New York

Data Scientist, Product
New York, NY • Full Time
Meta
Data & Analytics
Data Science
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.
Data Scientist, Product Responsibilities
Apply quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with consumer and business products.
Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
Build models of user behaviors for analysis or to power production systems.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Design and implement dashboards and reports that track key business metrics and provide actionable insights.
Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
Minimum Qualifications
Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of experience in the job offered or a computer-related field
Experience must include 2 years of experience in the following:
1.

Quantitative analysis techniques:

clustering, regression, pattern, recognition, or descriptive and inferential statistics
2. Data analysis and algorithm development
3. Optimization, probability, statistics, or machine learning
4. ETL (Extract, Transform, Load) processes
5. Relational databases and SQL
6. Large scale data processing infrastructure using distributed systems ( Hive or Teradata) 7. Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, statsmodels, scikit-learn, tidyverse (dplyr, ggplot2, etc.), R, MATLAB or SAS
8. Technical presentation skills
9. Working with cross-functional teams to choose/create metrics and set metric goals
10. Designing and executing experiments (e.g. A/B tests, country tests, network tests) and
11. Technical presentation skills to influence technical and non-technical audiences (engineers, data scientists, program managers, marketers)
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$193,482/year to $196,900/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.