Data Scientist Intern null

About Amazon

Founded by Jeff Bezos in 1994, Amazon began as an online bookstore but quickly expanded into selling DVDs, CDs, video games, electronics, and more. Today, Amazon sells products through its website and third-party sellers on its marketplace platform. Amazon's business model is unique because it allows companies to sell their goods directly to consumers without buying inventory or building a distribution network.

Your role

Amazon is looking for motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of their systems. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control is particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis & optimization is also a plus.

• Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision-making
• Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
• Collaborate with multiple teams as a leader of quantitative analysis and develop solutions that utilize the highest standards of analytical rigor and data integrity
• Analyze and solve business problems at their root

Training and development

Whether you’re graduating with an undergraduate degree, Master’s degree, MBA, or PhD, Amazon teams have internship positions available globally. Amazon internships are designed to provide students with an understanding of what it’s like to work at Amazon. Interns do work that makes a big impact—diving into products, programs, and services that touch millions of customers. 

Benefits

The salary for this role ranges between INR 6 Lakhs to INR 7 Lakhs per annum. The comprehensive benefits begin on day one for regular full-time employees including health care coverage, parental leave, ways to save for the future, and other resources to improve health and well-being. Taking care of employees' health and wellness is a priority.

• Paid time off
• Health care plans
• Financial planning and assistance
• Maternity and parental leave
• Employee discount on Amazon merchandise
• Employee Assistance Program (EAP)
• Leave programs for military service members, veterans, and their families

Career progression

The Career Choice program is uniquely designed for associates interested in learning about and pursuing a future at Amazon or elsewhere. It helps fund college tuition for associates looking to complete a high school diploma, GED, Bachelor's degree, and English as a Second Language (ESL) proficiency certifications. Career Choice also provides funding for employees studying aircraft mechanics, welding, medical billing, nursing, and other fields. Associates can participate in the Career Choice opportunities after 90 days of employment and can participate for as many years as they work at Amazon.

Work-life balance

Work days are usually from Monday to Friday. They have flexible work timings. When you join Amazon, you are part of a team that works together to create one goal. You create new friendships, and a lot of those are like family. Here you find good work with a balanced life.

Culture and Vibe

Amazon is a results-driven company. Its work culture is centered around productivity and innovation. The company keeps its teams small, which gives team members full responsibility and accountability for the task at hand. The introduction of team tenets helps employees make decisions that positively impact the company, as they can approach issues without having to take permission that might end up being shut off. Clarity has also proven to be Amazon’s key to success. 

About you

• Record of delivering large analytical solutions with business impact
• Experience in R/SAS/Matlab and SQL
• Excellent Microsoft Office skills, including a strong working knowledge of Excel
• Problem-solving ability and passion for big data
• Excellent communication and data presentation skills
• Fluent written and spoken English

How to apply

To apply for this position, just click on the "Apply on employer site" button below, which navigates you to the careers page where the application can be submitted directly.

Sources

• youtube.com
• ambitionbox.com
• amazon.jobs
• amazon.com