Central Applied Science (CAS) is a research and development team, working to improve Metas products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily.

Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.

We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Metas successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.

Check Point Technologies is seeking a highly skilled ML engineer with a passion for learning about security and Web3 technologies. The ideal candidate will lead the development of our machine learning models to enable real-time detection of anomalies and malicious transactions, while leveraging cutting-edge prevention technology to combat on-chain cyber-attacks.

Key Responsibilities
Data Analysis & Modeling: Analyze large datasets from blockchain networks, smart contracts, and transactions to identify vulnerabilities, patterns, anomalies, and potential threats.
Algorithm Development: Develop and implement machine learning algorithms to detect and mitigate security threats in real-time across decentralized systems.
Threat Intelligence: Collaborate with security teams to integrate data-driven insights into proactive threat detection and prevention strategies.
Research & Innovation: Stay updated with the latest advancements in Web3 and blockchain security, continuously innovating to address emerging threats.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As a data scientist, you will work on the very core of the Search Solution. As part of a heterogeneous team of data scientists and engineers, you will build end-to-end data processes and algorithms turning rich raw signals into deliverable metrics on the online marketing world. This role provides an opportunity to tackle a wide array of data sources using a rich toolbox of algorithms and big-data tools and technologies.

So, what will you be doing all day?

Your role as part of the R&D team means your daily responsibilities may include:

Develop statistical and machine learning algorithms on large scale data to estimate metrics, develop features and deliver insights.
Own end-to-end data processes and pipelines (Research and POC to production)
Collaborating with data engineers to reach desired production results
Work together with product, design and R&D teams to plan and deliver best-in-class digital insights
Design and own ongoing validation and monitoring of ongoing processes

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferneces and at leading journals
Actively identify new opportunities within Meta's long term roadmap for data science contributions.

We are looking for a motivated and highly skilled Data Integrity Analyst to join our team. The ideal candidate with be responsible for ensuring the accuracy and consistency of data across the organization. This role involves monitoring data for errors, implementing data governance practices to maintain high standards of data integrity. The Data Integrity Analyst will work closely with various departments to support data-driven decision-making and improve overall business performance.

Key Responsibilities
Data Quality Assurance: Ensure data integrity and accuracy by performing regular data quality checks and validation.
Data Governance: Implement data governance policies and ensure compliance with standards.
Infrastructure and Business Processes: Create and implement the right infrastructure and business processes to ensure the accuracy and correctness of data.
Collaboration: Work with cross-functional teams to understand data needs and provide solutions that support business objectives.
Data Management: Ensure the effective collection, storage, and retrieval of data across various platforms.
Data Strategy: Assist in developing and implementing data strategies to enhance data utilization and improve data integrity.

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 developments 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 products 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 wont 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.
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.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a talented and dedicated Data Analyst who will be a part of the Core Data group.

As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.

What does the day-to-day of a Data Analyst at Similarweb look like:

Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of Similarwebs data and algorithms.
Utilize your deep understanding of Similarwebs data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.