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  • The site is refreshed daily to remove out-of-date content.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 Data 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 Capabilities to fulfil all customer processes in the IN-ECCF regions.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

  • Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models

  • Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering)

  • Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.

  • Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area

  • Innovate by adapting new modeling techniques and procedures

  • Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets

  • Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.

  • Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

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

Bengaluru, KA, IND | Hyderabad, TS, IND

Basic Qualifications

  • 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

  • Bachelor's degree in computer science, engineering, mathematics or equivalent

  • Experience with statistical models e.g. multinomial logistic regression

  • Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

Preferred Qualifications

  • Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

  • Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

  • Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

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