Applied Scientist II Job Vacancy in ASSPL – Karnataka Bengaluru, Karnataka – Updated today
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Company Name : ASSPL – Karnataka
Location : Bengaluru, Karnataka
Position :
Job Description : A MS or PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field
5+ years of hands-on experience in applied Machine Learning and Big data.
Strong grasp of machine learning, data mining and data analytics techniques
Strong Problem solving ability
Good knowledge of scientific programming in scripting languages like R/Python
Job summary
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses.
If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company’s bottom-line, we want to talk to you.
Major responsibilities
Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
Research and implement novel machine learning and statistical approaches
Work closely with software engineering teams to drive real-time model implementations and new feature creations
Work closely with business owners and operations staff to optimize various business operations
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Mentor other scientists and engineers in the use of ML techniques
Major responsibilities
Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Work closely with software engineering teams to drive real-time model implementations
Work closely with business partners to identify problems and propose machine learning solutions
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance
Mentor other scientists and engineers in the use of ML techniques
Basic Qualifications
MS or PhD in Computer Science/Machine learning/Operational research/Statistics or in allied areas
5+ years of hands-on experience in applied Machine Learning and Big data
Strong grasp of machine learning, data mining and data analytics techniques
Strong problem-solving ability
Understanding of computer science algorithms and data structures
Strong expertise in one of the Machine Learning domains like NLP, Computer Vision, Reinforcement Learning, etc.
Working knowledge of SQL or related languages for data processing
Strong knowledge of scientific programming in languages like Python
Preferred Qualifications
PHD in any of the following disciplines – Computer Science, Machine Learning, Data Mining, Statistics, Operational Research
Superior verbal and written communication skills
Ability to convey rigorous mathematical concepts and considerations to non-experts
Experience of working with large scale data on distributed system using languages like Spark, Scala, etc.
Publications in top-tier conferences and journals
Loop competencies
Statistics, Machine Learning, Programming, Data structure and algorithms, problem solving
PHD in any of the following disciplines – Computer Science, Machine Learning, Data Mining, Statistics, Operational Research
Experience with distributed algorithms
Experience with Hadoop, Hive, Pig, Spark
Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
Experience with Linux or UNIX environment
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