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You will participate in all phases of science projects, including big data understanding, designing and implementing product experiment, automating analytical metric mechanism, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions.
Key job responsibilities
• Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
• Design structured, multi-source data/statistics solutions to deliver results
• Establish scalable, efficient, automated processes for large scale data analyses, statistics and visualization solution
• Preprocess and analyze unstructured text data by NLP techniques to understand customer needs and product enhancement
• Conduct A/B test experiment to support product dial-up decisionA day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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