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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 STE 18 Month Contract 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.

KLA has manufacturing sites across the globe, including Belgium, China, Germany, Israel, Singapore and Milpitas (CA). The Global Operations (GOPS) team, comprised of Manufacturing, Supply Chain Management, Manufacturing Engineering, Installation, and Quality, is responsible for manufacturing our leading-edge technology. We partner with our world-wide supply base and our design engineering teams to bring new products to market. The GOPS team is continuously working to build our products Better, Faster, Cheaper.
Job Description

Ensure the system will meet the system requirements, Understanding deeply the technical aspects of the system (HW/Algo/SW) and our customers use-cases to provide robust technical capabilities to our customers requirements Hands-on troubleshooting and maintaining of engineering prototype systems in division headquarters Review and approve system requirements and design documents, Contribute to and work the product marketing and the divisions strategic plans to clarify the market need in terms of system requirements, Collect and analyze large amount of data from the system (in hose and from customers) to gain deep insights regard the system behavior Respond to field escalations where field service engineers have failed to resolve complex system performance problems, by providing written plans of action by e-mail, phone or on-site hands-on assistance at customer sites worldwide

Be able to quickly get up to speed to design and execute multi-disciplinary experiments, write and peer review detailed test plans and summary reports for system testing Hands-on troubleshooting and maintaining of engineering prototype systems in division headquarters