Data Scientist, Consumables (消費財事業部)
Tokyo, JPN
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Amazon Japan is seeking an experienced Sr. Data Scientist to join our growing team. In this critical role, you will leverage your strong quantitative and analytical skills to drive data-driven insights that shape our FMCG (fast-moving consumer goods) business and other key strategic initiatives.
Your responsibilities will include:
- Solving complex, ambiguous business problems using appropriate statistical methodologies, modeling techniques, and data science best practices to lead business insights for FMCG business growth. You will work closely with cross-functional partners to translate business requirements into actionable data science solutions.
- Designing and implementing scalable, reliable, and efficient data pipelines to extract valuable insights from diverse data sources. This includes making appropriate trade-offs between short-term and long-term needs.
- Communicating your findings and recommendations clearly and persuasively to technical and non-technical stakeholders. You will document your work to the highest standards and ensure your solutions have a measurable impact on the business.
- Mentoring and developing more junior data scientists on your team. You will actively participate in the hiring process and contribute to the growth of Amazon's data science community.
- Staying abreast of the latest advancements in data science and applying innovative techniques where appropriate to tackle challenging business problems.
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in a ML or data scientist role with a large technology company
Your responsibilities will include:
- Solving complex, ambiguous business problems using appropriate statistical methodologies, modeling techniques, and data science best practices to lead business insights for FMCG business growth. You will work closely with cross-functional partners to translate business requirements into actionable data science solutions.
- Designing and implementing scalable, reliable, and efficient data pipelines to extract valuable insights from diverse data sources. This includes making appropriate trade-offs between short-term and long-term needs.
- Communicating your findings and recommendations clearly and persuasively to technical and non-technical stakeholders. You will document your work to the highest standards and ensure your solutions have a measurable impact on the business.
- Mentoring and developing more junior data scientists on your team. You will actively participate in the hiring process and contribute to the growth of Amazon's data science community.
- Staying abreast of the latest advancements in data science and applying innovative techniques where appropriate to tackle challenging business problems.
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
2
0
0
Category:
Data Science Jobs
Tags: Data analysis Data pipelines Machine Learning Matlab Perl Pipelines Python R SAS SQL Statistical modeling Statistics
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
Japan
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Engineer II jobsStaff Data Scientist jobsPrincipal Data Engineer jobsBI Developer jobsData Scientist II jobsData Manager jobsData Science Manager jobsJunior Data Analyst jobsResearch Scientist jobsBusiness Data Analyst jobsLead Data Analyst jobsSr. Data Scientist jobsData Science Intern jobsSenior Data Scientist, Performance Marketing jobsJunior Data Engineer jobsSoftware Engineer, Machine Learning jobsSenior AI Engineer jobsBI Analyst jobsSenior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America jobsSr Data Engineer jobsData Engineer III jobsData Specialist jobsJunior Data Scientist jobsData Analyst II jobsAzure Data Engineer jobs
Linux jobsSnowflake jobsEconomics jobsPhysics jobsHadoop jobsOpen Source jobsJavaScript jobsRDBMS jobsComputer Vision jobsAirflow jobsKafka jobsScala jobsMLOps jobsNoSQL jobsData Warehousing jobsBanking jobsKPIs jobsData warehouse jobsGitHub jobsGoogle Cloud jobsClassification jobsOracle jobsScikit-learn jobsSAS jobsCX jobs
PostgreSQL jobsScrum jobsR&D jobsTerraform jobsStreaming jobsData Mining jobsLooker jobsPandas jobsDistributed Systems jobsIndustrial jobsJenkins jobsJira jobsRobotics jobsPySpark jobsBigQuery jobsReact jobsMicroservices jobsdbt jobsRedshift jobsMatlab jobsMySQL jobsData strategy jobsUnstructured data jobsE-commerce jobsNumPy jobs