Core Data Science (https://rxxxxxxx.xx.xxx/xxxx-xxxx-xxxxxxx/) is a research and development team, working to improve (COMPANY NAME)'s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. We are an interdisciplinary team, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We are looking for researchers and data scientists to join the team in London and Tel Aviv. We work closely with various product groups throughout (COMPANY NAME), bringing expertise in modeling, machine learning, statistics, statistical computing, data analysis, algorithms, and social network analysis. By applying your knowledge of such topics you will be empowered to drive impact across all manner of strategic decisions, product, infrastructure and operational use cases at (COMPANY NAME).
Core Data Science, PhD Intern (Tel Aviv 2022) Responsibilities
Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical and machine learning methodologies on top of (COMPANY NAME)'s unparalleled data infrastructure.
Apply excellent communication skills in order to develop cross-functional partnerships throughout the company and spread scientific best practices.
Be able to work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to (COMPANY NAME)'s community of over 2 billion users.
Think creatively, proactively, and futuristically to identify new opportunities within (COMPANY NAME)'s long term roadmap for data-scientific contributions.
Pursuing Ph.D. in Computational Social Science, Operations Research, Mathematics, Statistics, Econometrics, Computer Science or related field.
Must be returning to school for at least one semester/quarter post internship
Experience in machine learning, statistical analysis or social network analysis.
Experience with data analysis using tools such as R or Python, with packages such as NumPy, SciPy, pandas, scikit-learn, tidyverse (dplyr, ggplot2, etc.).
Ability to initiate and drive research projects to completion with minimal guidance.
The ability to communicate scientific work in a clear and effective manner.
Experience in lower level languages such as C++, Java.
Experience in scalable dataset assembly / data wrangling, such as Presto, Hive or Spark.
Publications at top international conferences or scientific journals
About the (COMPANY NAME) company
(COMPANY NAME)'s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at (COMPANY NAME) are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
(COMPANY NAME) is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to email@example.com
|Posted on:||14 Oct 2021|
|Type of job:||Internship|
|Industry:||Internet / New Media|