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Data Scientist Intern

Job ID: 1665656 | ADCI - Karnataka

DESCRIPTION

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.
Location - 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

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

· PhD., 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.