Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Amazon Sr.Research Scientist in Hyderabad, India

Description

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The AOP team is an integral part of this and strives to provide Analytical and Science Capabilities for ROW (Rest of the World) Operations. We are looking for a Senior Research Scientist interested in solving challenging Capacity Optimization problems across various miles of Amazon Operations. These problems have significant impact on our reliability, speed, cost and productivity.

As a Senior Research Scientist in AOP, you will be focused on leading the design and development of innovative approaches and science solutions to solve multi-geo optimization problems. You will also be working closely with Scientists in global teams to converge these solutions with global roadmaps.

You will suggest best practices and take on a lead role with junior scientists and BIEs in the team. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and outstanding ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices.

Key job responsibilities

  1. Provide technical expertise to identify science models and strategies that will allow AOP to deliver massive cost savings for ROW countries.

  2. Be able to implement these models into production environments is preferred

  3. Implement best practices and mechanisms to improve the overall science implementation framework of the team

  4. Work closely with Product Managers, Operations Managers and Ops Leaders to improve explainability and bridging of solutions

  5. Partner with other global science teams to align and merge with central strategy

We are open to hiring candidates to work out of one of the following locations:

Bengaluru, KA, IND | Hyderabad, TS, IND

Basic Qualifications

  • 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience

  • PhD, or Master's degree and 5+ years of quantitative field research experience

  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.

  • Experience communicating qualitative research methods and findings to non-qualitative researchers

Preferred Qualifications

  • Experience converting research studies into tangible real-world changes

  • Experience with discrete and continuous optimization methodologies and algorithms

  • Experience in putting large scale models into production will be a plus point

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