Business Research Analyst, RBS
Job Description
As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models.Key job responsibilities• Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals• Conduct product pilots demonstrating customer obsession and innovation• Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques• Act as a bridge between science and software teams to deliver optimized solutions• Communicate technical concepts to stakeholders at all levels• Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics• Monitor and maintain existing solutions to ensure peak performanceAbout the teamThe Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.
Locations
- India, KA, Bengaluru, Bengaluru, KA, India
- India, KA, Bangalore, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
15,000,000 - 35,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithmsintermediate
- - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatoryintermediate
Required Qualifications
- - Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) (degree in quantitative or stem disciplines)
- - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms (experience, 1 years)
- - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory (experience)
- - Strong analytical thinking (experience)
- - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills (experience)
- - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. (experience)
Preferred Qualifications
- - Master's degree with specialization in ML, NLP or Computer Vision preferred (degree in ml)
- - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) (experience, 1 years)
- - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics (experience)
Responsibilities
- • Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals
- • Conduct product pilots demonstrating customer obsession and innovation
- • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
- • Act as a bridge between science and software teams to deliver optimized solutions
- • Communicate technical concepts to stakeholders at all levels
- • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics
- • Monitor and maintain existing solutions to ensure peak performance
- About the team
- The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.
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Business Research Analyst, RBS
Job Description
As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models.Key job responsibilities• Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals• Conduct product pilots demonstrating customer obsession and innovation• Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques• Act as a bridge between science and software teams to deliver optimized solutions• Communicate technical concepts to stakeholders at all levels• Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics• Monitor and maintain existing solutions to ensure peak performanceAbout the teamThe Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.
Locations
- India, KA, Bengaluru, Bengaluru, KA, India
- India, KA, Bangalore, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
15,000,000 - 35,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithmsintermediate
- - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatoryintermediate
Required Qualifications
- - Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) (degree in quantitative or stem disciplines)
- - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms (experience, 1 years)
- - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory (experience)
- - Strong analytical thinking (experience)
- - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills (experience)
- - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. (experience)
Preferred Qualifications
- - Master's degree with specialization in ML, NLP or Computer Vision preferred (degree in ml)
- - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) (experience, 1 years)
- - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics (experience)
Responsibilities
- • Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals
- • Conduct product pilots demonstrating customer obsession and innovation
- • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
- • Act as a bridge between science and software teams to deliver optimized solutions
- • Communicate technical concepts to stakeholders at all levels
- • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics
- • Monitor and maintain existing solutions to ensure peak performance
- About the team
- The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.