Summary:

　　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, WhatsApp, and Novi 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.Instructions on how to apply, click “Apply to Job” online on this web page.

　　Required Skills:

　　Research Data Scientist Responsibilities:

　　Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Meta's unparalleled data infrastructure.

　　Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.

　　Build and maintain data driven optimization models, experiments, forecasting algorithms, and machine learning models.

　　Leverage tools like Python, R, Hadoop & SQL to drive efficient analytics.

　　Communicate final recommendations and drive decision making.

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Requires a Master's degree in Finance, Mathematics, Statistics, Operations Research or other related field and two years of experience in the job offered or in an analytics-related role. Requires two years of experience in the following:

　　Solving analytical problems and building models using quantitative, statistical or machine learning approaches

　　Experience with Machine Learning, Statistics, or other data analysis tools and techniques

　　Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets

　　Experience with at least one programming language (i.e. Python, R, Java, or C++)

　　Experience writing SQL queries

　　Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2

　　Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis

　　Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2

　　Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano

　　Public Compensation:

　　$168,648/year to $191,000/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].