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Amazon Data Entry Jobs, Amazon Careers Remote #Full Time ( Data Science )

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Amazon Data Entry Jobs, Amazon Careers Remote #Full Time ( Data Science )

Company Name: Amazon

Post Name: Data Science

Qualification: Graduation

Industry: Private

Employment Type: Full Time

Work Hours: 8 Hours

Salary: $20-30/hour

Location: Massachusetts, USA

Amazon Data Entry Jobs, Amazon Careers Remote #Full Time ( Data Science )

Full Description:

Are you stimulated via invention? Is hassle fixing via teamwork on your DNA? Do you like the idea of seeing how your paintings impacts the larger photo? Solution sure to any of these and also you’ll healthy right in here at Amazon Robotics. We’re a smart team of doers that work passionately to apply cutting edge advances in robotics and software to remedy real-world challenges that will transform our clients’ reviews in ways we will’t even believe but. We invent new improvements every day. We are Amazon Robotics and we are able to provide you with the tools and assist you want to invent with us in ways that are rewarding, fulfilling and a laugh.

Amazon Robotics, a wholly owned subsidiary of Amazon.Com, empowers a wiser, quicker, extra consistent patron revel in via automation. Amazon Robotics automates achievement middle operations the use of various strategies of robot era consisting of self sufficient cell robots, sophisticated manage software, language notion, energy control, laptop imaginative and prescient, intensity sensing, system getting to know, item reputation, and semantic information of instructions. We function masses of buildings that rent masses of hundreds of robots teaming as much as carry out state-of-the-art, large-scale missions.

There is a lot of exciting possibilities that are ahead folks. Amazon Robotics has a committed cognizance on research and improvement to constantly explore new opportunities to extend its product traces into new regions.

This role is a 6 month co-op to join AR complete time (forty hours/week) from July – December 2023

Amazon Data Entry Jobs

The Co-op will be liable for:

Diving deep into operational information and metrics to perceive and communicate developments used to force improvement of new tools for supportability

Translating operational metrics into functional requirements for BI-equipment, models, and reporting – taking part with pass useful groups to automate AR trouble detection and diagnostics

The Co-op must:

Be presently enrolled in college/college and have to have at least one semester/time period/quarter of faculty left to finish after the quit of the co-op

Should be eligible and to be had for a full-time (40h / week) 6-month co-op between July to December 2023

About the crew

The Amazon Robotics facts science group group builds fashions, runs simulation experiments and offers analyses which can be central to expertise performance of the whole AR machine, e.G. Operational and software program scaling characteristics, bottlenecks, robustness to “chaos monkey” stresses — we tell critical engineering and enterprise choices about Amazon’s method to robotic success.

Basic qualifications

  • Pursuing a MS/PhD degree in Engineering, mathematics, records, Operations research, statistics structures, commercial enterprise Intelligence or associated technical area, Graduating may also / June 2024
  • Exposure to best practices in records analytics and reporting; statistics integrity, facts analysis, facts mining, design of test, and documentation
  • Revel in in writing ANSI sq. Code in the introduction of metrics and dashboards. Abilities in square programming required
  • Earlier revel in with cloud technologies (preferably AWS)
  • Enjoy with information analysis/statistical gear such as Python, R, SAS, or Matlab
  • Comfy managing ambiguity and making headway within the face of uncertainty
  • Display demonstrated fulfillment as each an impartial performer and a contributing member of a excessive-performing team; show the potential to deep dive and increase progressive ideas for technique challenges

Favored qualifications

  • MS in data science, facts, Operations research, or in distinctly quantitative area (e.G. Computer science, Operations studies, systems Engineering, Physics), or BS with three years of experience.
  • Prior industry revel in

Amazon Careers Remote #Full Time ( Data Science )

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  5. Growth opportunities: Look for a company that offers opportunities for professional development and career advancement. Ask about training programs, mentoring, and opportunities to take on new responsibilities or roles.
  6. Reputation: Research the company’s reputation in the industry and among its customers. Look for news articles or reviews that may give you insight into how the company is perceived.
  7. Work-life balance: Consider the company’s approach to work-life balance. Do they offer flexible schedules or remote work options? Is there an expectation of working long hours or being constantly available?
  8. Diversity and inclusion: Look for a company that values diversity and inclusion. Check out their diversity statistics and see if they have any initiatives or programs aimed at creating a more inclusive workplace.
  9. Company performance: Look at the company’s financial performance and growth trajectory. Consider factors like revenue, profitability, and stock performance when evaluating the company’s prospects for long-term success.
  10. Interview preparation: Prepare thoroughly for the interview process. Research the company, review your resume and cover letter, and practice your answers to common interview questions. Be prepared to ask thoughtful questions about the company and the role.