Amazon Off Campus Recruitment Drive 2022 |
Hiring Fresher Candidates as Data Scientist Intern for Tamil Nadu Location
Job ID: 2213292 | AISPL - Tamil
Nadu
DESCRIPTION
Job summary
We are looking for motivated data scientists with excellent leadership skills,
and the ability to develop, automate, and run analytical models of our systems.
Academic and/or practical background in Computer Science, Engineering,
Operations Research, or Process Control are particularly relevant for this
position. Experience in the integration of model-based engineering tools and/or
multidisciplinary analysis & optimization is also a plus.
Locations - Bangalore, Hyderabad, Chennai
Major Responsibilities:
- 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 where you develop solutions that utilize the
highest standards of analytical rigor and data integrity
- Analyze and solve business problems at their
root
“Amazon internships require full-time commitment. During the course of
internship, interns should not have any conflicts including but not limited to
academic projects, classes or other internships/employment. Any exam related
details must be shared with the hiring manager to plan for absence during those
days. Specific team norms around working hours will be communicated by the
hiring/ reporting manager at the time of commencement of internship. Candidates
receiving internship confirmation shall be required to submit declaration of
their availability to complete the entire duration of internship, duly signed
by a competent authority at their University. Internship commencement will be
subject to successful submission of the declaration.”
BASIC QUALIFICATIONS
- Record of delivering large analytical solutions
with business impact
- Experience on 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
PREFERRED QUALIFICATIONS
- Masters or equivalent advanced degree in
Computer Science, Computer Engineering, Statistics, Mathematics or related
technical discipline. Hands-on experience and project based learning in
computer science, engineering or mathematics is preferred.
- Academic experience in manipulating/transforming
data, model selection, model training, cross-validation and deployment at
scale.
- Academic or Project Experience with Machine and
Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch.
- Academic Experience with Big Data platforms
like Apache Spark and Hadoop.
- Familiarity with data processing with Python, R
& SQL.
- Familiarity with AWS services related to AI/ML
highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine
Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service,
Green Grass etc.
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