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Full job description
Bachelor’s degree in any quantitative discipline such as computer science, statistics, mathematics or related field
Experience in working with databases and sql in a business environmentKnowledge of redshift and aws in a linux / unix environment
4+ years of hands on experience in predictive modelling and big data analysis
4+ years of experience using python and java
Requires a high level of judgment to make appropriate decisions for diverse and undefined issues
The ideal candidate will possess a balanced mix of quantitative, technical, consultative, and facilitative/leadership skills
Excellent oral, written and interpersonal communication skills – experience in communicating with users/customers and other technical teams to collect requirements, describe software product features, and technical designs
Strong problem solving ability
Demonstrated ability to work well in a team environment and work under tight deadline
Track records of deliver results and strong ownership
Job summary
At amazon, we`re working to be the most customer-centric company on earthTo get there, we need exceptionally talented, bright, and driven peopleWe are looking for a high-octane research scientist (with strong sde capabilities) to join our customer service team.
The cs in research science team is a v2 startup that leverages machine learning techniques to solve cs problems across the nlp/nlu, predictive customer heuristics & free text intent detection spectrumThis is a strategic initiative for the organization with strong buy-in from top managementOur group offers a creative and fast-paced work environment where you’ll invent, build, and launch scalable solutions that directly impact amazon customers.
Why would you want to join our team?
If you are passionate about solving hard technical problems in customer service via machine learning and want your work to make an immediate impact in the real world, this is the place for youWe solve problems on par with leading academic researchIf going deep to optimize for scale, latency, and resource usage excites you as much as working backwards from the customer to develop features that not only work, but delight, then join us
What does it take to succeed in this role?
In addition to meeting the technical qualifications, you need to be creative, responsible, and able to dig deep into emerging technologiesWilling to read research papers, but also move quickly to turn ideas into code that solves customer problemsA natural problem solver, who is able to think about business problems, operational issues, and software architecture in the course of a single conversationCurious about our customers` needs and dedicated to turning developers into raving fansExcited to learn from others while bringing your own novel capabilities and perspectivesThe successful candidate will have strong analytical and communication skills, have a passion for using data to drive business decisions, have the ability to partner with stakeholders at multiple levels to define and deliver solutionsYou are analytical and creative, and you don’t quitYou attack complex business questions with data and curiosity, diving below the surface to identify the root cause and the “so what” rather than just superficial trendsThis position will play a critical role in a program that is high profile, fast-paced, and that has high expectationsIt requires a self-starter who is eager to learn, willing to effectively partner with the members of a cross-functional team, and able to deliver results by diving below the surface to help answer “why?” as much as “what?”
Major responsibilities
Use statistics, nlp and machine learning techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
Design, experiment and evaluate highly innovative models for predictive learning
Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
Work closely with business staff to optimize various business operations
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Track general business activity and provide clear, compelling management reporting on a regular basis
Research and implement novel machine learning and statistical approaches
Experience in e-commerce / on-line companies
Experience in working with databases and data mining techniques in a business environment
Experience in design and development of systems with new machine learning models ( full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations)
Good team player with agility and adaptiveness
6+ years of industry experience in predictive modeling, machine learning and big data analysis
3+ year distributed programming experience
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Job activity
Posted 30+ days ago
