Data Scientist
il y a 2 semaines
- Master's Degree in Computer Science/Engineering, Informatics, Mathematics, or a related technical discipline
- 3+ years of industry experience in data engineering/science, business intelligence or related field
- Very good knowledge of data modeling and evaluation
- Very good understanding of regression modeling, forecasting techniques, time series analysis, machinelearning concepts such as supervised and unsupervised learning, classification, random forest, etc.
- SQL and query performance tuning skills
The Global Procurement Technology, as a part of Global Procurement Operations, is seeking a skilled Data Scientist to help build its future data intelligence in business ecosystem, working with large distributed systems of data and providing Machine Learning (ML) and Predictive Modeling expertise.
You will be a member of the Data Engineering and ML Team, joining a fast-growing global organization, with a great vision to transform the Procurement field, and become the role model in the market.
This team plays a strategic role supporting the core Procurement business domains as well as it is the cornerstone of any transformation and innovation initiative.
Our mission is to provide a high-quality data environment to facilitate process optimization and business digitalization, on a global scale.
We are supporting business initiatives, including but not limited to, strategic supplier sourcing (e.g. contracting, negotiation, spend analysis, market research, etc.), order management, supplier performance, etc.
We are seeking an individual who can thrive in a fast-paced work environment, be collaborative and share knowledge and experience with his colleagues.
You are expected to deliver results, but at the same time have fun with your teammates and enjoy working in the company.
In Amazon, you will find all the resources required to learn new skills, grow your career, and become a better professional.
You will connect with world leaders in your field and you will be tackling Data Science challenges to ensure business continuity, by taking the right decisions for your customers.
As a Data Scientist in the team, you will:
- have strong analytical skills and excel in the design, creation, management, and enterprise use of large data sets, combining raw data from different sources
- cooperate closely with different groups of stakeholders, e.g. data/software engineers, product/program managers, analysts, senior leadership, etc. to evaluate business needs and objectives to set up the best data management environment
- create and share with audiences of varying levels technical papers and presentations
- deal with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Basic qualifications
- Master's Degree in Computer Science/Engineering, Informatics, Mathematics, or a related technical discipline
- 3+ years of industry experience in data engineering/science, business intelligence or related field
- Very good knowledge of data modeling and evaluation
- Very good understanding of regression modeling, forecasting techniques, time series analysis, machinelearning concepts such as supervised and unsupervised learning, classification, random forest, etc.
- SQL and query performance tuning skills
- 2+ years of proficiency in using R, Python, Scala, Java or any modern language for data processing and statistical analysis
- Experience with various RDBMS, such as PostgreSQL, MS SQL Server, MySQL, etc.
- Experience architecting Big Data and ML solutions with AWS products (Redshift, DynamoDB, Lambda, S3, EMR, SageMaker, Lex, Kendra, Forecast etc.)
- Experience articulating business questions and using quantitative techniques to arrive at a solution using available data
- Experience with agile/scrum methodologies and its benefits of managing projects efficiently and delivering results iteratively
- Excellent written and verbal communication skills including data visualization, especially in regards to quantitative topics discussed with nontechnical colleagues
- 2+ years of proficiency in using R, Python, Scala, Java or any modern language for data processing and statistical analysis
- Experience with various RDBMS, such as PostgreSQL, MS SQL Server, MySQL, etc.
- Experience architecting Big Data and ML solutions with AWS products (Redshift, DynamoDB, Lambda, S3, EMR, SageMaker, Lex, Kendra, Forecast
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