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Over the past two decades, big data has become the new oil. From healthcare to manufacturing, every industry is in surviving the digital wave, thanks to the overwhelming data. People have also started realizing the importance of big data and how it is revolutionizing the decision-making process. Owing to the increasing usage of big data, data science technology was brought to the spotlight. As more and more industries use innovative big data applications, data professionals of all stripes are in high demand. There are a plethora of data science jobs open for skilled candidates. Although the data science industry demands a lot but only names a few while hiring data scientists, people are still interested in this money-making technology. Despite this, data science jobs command high salaries because there's not enough supply and their skills are in high demand. Especially, FAANG companies pay a fortune for data science professionals like data scientists, data analysts, data engineers, data architects, ML scientists, data storytellers, ML engineers, etc. Therefore, starting from aspiring data scientists to experts, everybody wants to get into FAANG companies. In this article, Analytics Insight has listed top data science jobs that tech enthusiasts should apply for in FAANG companies now.
Location(s): Sunnyvale-CA, Austin-TX, Seattle-WA, Remote
Roles and Responsibilities: Meta is seeking an experienced data analyst to join the team, who will focus on leading analytics efforts with cross-functional teams to improve the product experience by providing scalable data solutions, business intelligence, and analytics to PSO. The candidate should develop and manage end-to-end analytics solutions from requirements gathering, establishing key metrics, building a data pipeline, and dashboard, and analyzing data to drive the performance of operations.
Qualifications:
Apply here for the job.
Location(s): Austin-TX, Washington-DC, New York, San Francisco-CA, Remote
Roles and Responsibilities: The company is looking for data analysts who share their passion for building new functionality and improving existing systems. He/she should build new analytics and reporting capabilities to support program evaluation and operations. They should handle and how reporting analytics requests while addressing stakeholders' long-term needs and driving insights for human resource partners and executives using existing dashboards.
Qualifications:
Apply here for the job.
Location(s): Hyderabad, Telangana
Roles and Responsibili]tes: As a data scientist at Apple, the candidate should design data science solutions to solve business challenges. He/she should be part of a large team, working on research and project delivery. They will apply statistical thinking and machine learning methods. The candidate should communicate complex concepts in intelligible ways. He/she will manage time and priorities in an exciting and changing environment.
Qualifications:
Apply here for the job.
Location(s): Austin, Texas
Roles and Responsibilities: As an SDS data scientist, the candidate will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.
Qualifications:
Apply here for the job.
Location(s): London
Roles and Responsibilities: The data engineer will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. He/she should deliver data solutions that are customer-focused, easy to consume and create business impact. They should have a strategic and long-term view on architecting advanced data ecosystems. In this role, the candidate will gather business and functional requirements and translate these requirements into robust, scalable operable solutions with a flexible and adaptable data architecture.
Qualifications:
Apply here for the job.
Location(s): Los Gatos, California
Roles and Responsibilities: As a data engineering manager, the candidate should achieve a consistently enjoyable experience for the company's members through this process of a tall order. He/she should help visual effects teams deeply leverage data to inform their decision-making as they go about their tasks. They should help teams leverage data-driven methods such as reinforcement learning for artwork and video assets personalization and optimization methods for studio production workflows to drive better outcomes for the business.
Qualifications:
Apply here for the job.
Location(s): Mountain View-CA, Sunnyvale-CA, New York
Roles and Responsibilities: As a data scientist at Google, the candidate should work with large, complex datasets. They should solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. He/she should conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentation. The candidate should research and develop analysis, forecasting, and optimization method to improve the quality of Google's user-facing products.
Qualifications:
Apply here for the job.
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