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We are seeking an experienced SeniData Scientist to lead our machine learning initiatives.
As a key member of our digital transformation team, the successful candidate will be responsible fdriving forward our data-driven projects, ensuring that we leverage advanced analytics machine learning to optimize business processes enhance decision-making capabilities.
Primary Duties Responsibilities
? Lead the conception, design, development, deployment of machine learning models to address business challenges opportunities.
? Collaborate with cross-functional teams to identify areas where machine learning can add value develop solutions that drive efficiency innovation.
? Utilize Python fprogramming tasks, including but not limited to data preprocessing, algorithm implementation, model testing.
? Perform data analysis to derive insights inform strategic decisions, using statistical methods data visualization tools.
? Develop maintain applications on Microsoft platforms to support data processing analytics workflows.
? Ensure the quality reliability of machine learning systems through rigorous testing validation procedures.
? Stay current with emerging trends technologies in the field of artificial intelligence digitalization to keep the company at the forefront of innovation.
? Other tasks assigned by manager.
Required Qualifications
? Master’s degree in Computer Science, Data Science, Statistics, Engineering, a related field; PhD’s degree preferred.
? Proven experience (minimum 3-5 years) in a similar role, with a focus on machine learning projects.
? Proficiency in programming languages such as Python, SQL, OOP languages like C# Java.
? Experience with data analysis, statistical modeling, machine learning techniques. Strong analytical critical thinking skills to identify patterns trends within data.
? Experience with computer vision, NLP, LLMs fdeveloping advanced AI models.
更新于 2026-03-07
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.
AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.
Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
Basic qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one more scripting language (e.g., Python, KornShell)
Preferred qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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