Company: |
FaceBook |
Job Role: |
Core Data Science, PhD Intern |
Experience: |
Freshers |
Vacancy: |
10+ |
Qualification: |
BE/BTech, ME/MTech, MBA/PhD |
Stipend |
£17,000/year |
Location: |
Remote Emea,London United Kingdom |
Join us on Telegram |
Click Here |
Apply Mode: |
(Online) |
Deadline: |
Not Mentioned |
About the Company:
Facebook's main goal is to enable individuals to assemble local area and unite the world. Through our group of applications and administrations, we're fabricating an alternate sort of organization that interfaces billions of individuals all throughout the planet, gives them approaches to share what makes a difference most to them, and unites individuals. Regardless of whether we're making new items or assisting a private venture with extending its scope, individuals at Facebook are manufacturers on a basic level. Our worldwide groups are continually repeating, tackling issues, and cooperating to engage individuals all throughout the planet to fabricate local area and interface definitively. Together, we can help individuals fabricate more grounded networks — we're simply beginning.
Facebook is focused on offering sensible help (called facilities) in our enlisting measures for up-and-comers with inabilities, long haul conditions, emotional well-being conditions or who are neurodivergent, and to competitors with genuinely held strict convictions or requiring pregnancy related help. In the event that you need support,
Job Description:
Center Data Science (https://research.fb.com/center information science/) is an innovative work group, attempting to improve Facebook's items, foundation, and cycles. We produce true effect through a mix of logical meticulousness and methodological advancement. We are an interdisciplinary group, with aptitude in software engineering, insights, AI, financial matters, political theory, activities exploration, and human science, among numerous different fields. This variety of viewpoints advances our examination and grows the extension and size of tasks we can address.
We are searching for specialists and information researchers to join the group in London and Tel Aviv. We work intimately with different item bunches all through Facebook, acquiring ability demonstrating, AI, insights, measurable processing, information examination, calculations, and interpersonal organization investigation. By applying your insight into such themes you will be engaged to drive sway across all way of vital choices, item, foundation and operational use cases at Facebook.
Center Data Science, PhD Intern (London 2021) Responsibilities
Construct realistic, versatile, and genuinely thorough answers for mission basic inferential and choice issues by utilizing or creating cutting edge factual and AI procedures on top of Facebook's unmatched information foundation.
Apply brilliant relational abilities to foster cross-useful organizations all through the organization and spread logical prescribed procedures.
Have the option to work both freely and cooperatively with different researchers, engineers, architects, UX specialists, and item administrators to achieve complex errands that convey evident worth to Facebook's people group of more than 2 billion clients.
Think inventively, proactively, and modernly to distinguish new freedoms inside Facebook's long haul guide for information logical commitments.
Least Qualifications
- Seeking after Ph.D. in Computational Social Science, Operations Research, Mathematics, Statistics, Econometrics, Computer Science or related field
- Should be getting back to class for in any event one semester/quarter post temporary position
- Involvement with AI, measurable examination or informal community investigation.
- Involvement in information examination utilizing apparatuses like R or Python, with bundles like NumPy, SciPy, pandas, scikit-learn, tidyverse (dplyr, ggplot2, and so forth)
- Capacity to start and drive research ventures to fruition with insignificant direction.
- The capacity to convey logical work in a reasonable and viable way.
Favored Qualifications
- Involvement with lower level dialects like C++, Java.
- Involvement with versatile dataset get together/information fighting, like Presto, Hive or Spark.
- Distributions at top worldwide gatherings or logical diaries
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