Senior data scientist, UTR optimization
Amazon’s Development Centre Department based in Toronto, ON is inviting applications from suitable candidates for the position of Senior data scientist, UTR optimization. Amazon’s Development Centre Department is dedicated to innovative research and development. It provides advanced software, systems, and applications to enhance Amazon’s technology and services. It drives technological advancements in e-commerce, cloud computing, and AI. This ensures Amazon’s leading market position and superior customer experiences across its platforms. The candidates selected for the vacancy will be required to start the work as soon as possible.
Also hiring: Maintenance millwright
Job Description:
Employer Name: Amazon
Department: Development Centre
Position: Senior data scientist, UTR optimization
No of Vacancies: 4
Salary: Salary is not mentioned, $65.00 – $70.00 hourly estimated salary
Employment Type: Full time
Job Category: Data Science
Location: Toronto, ON, CAN
Job ID: 2685519
Requirements:
Languages: Candidates must have knowledge of the English Language
Education:Â Candidates should have completion of PhD
Experience: Candidates should have three years of working experience as a Data Scientist
Physical Requirements:
- The candidates should have the ability to work on a diverse team or with a diverse range of coworkers
Other Requirements:
- The candidates should have a Master’s degree with limited experience, or a Bachelor’s degree in Statistics, Applied Math, Operations Research, Economics, Engineering, or a related quantitative field
- The candidates should have experience with statistical analysis, data modeling, optimizations, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling and write SQL scripts for analysis and reporting (Redshift, SQL and MySQL)
- The candidates should have experience in Statistical Software such as R, Weka, SAS and SPSS and experience applying various machine learning techniques and understanding the key parameters that affect their performance
- The candidates should have experience using one or more programming languages (Python, R, Java, C++ and MATLAB) and familiarity with the processes used in the Amazon fulfillment or sortation network
- The candidates should have experience processing, filtering, and presenting large quantities (100K to millions of rows) of data and previous experience in a ML, data scientist, or optimization engineer role with a large technology company
- The candidates should have the ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause-and-effect relations
- The candidates should have experience in creating data-driven visualizations to describe an end-to-end system and proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts and data maps
- The candidates should have excellent written and verbal communication skills, as the role requires effective communication with colleagues from computer science, operations research, and business backgrounds
Responsibilities:
- The candidates should be able to design and implement solutions to address complex business questions using simulation
- The candidates should be able to apply advanced analysis techniques and statistical concepts to draw insights from massive datasets
- The candidates should be able to create intuitive simulations and data visualizations and review key results with business leaders and stakeholders
- The candidates should be able to contribute to each layer of a data solution, working closely with process design engineers, business intelligence engineers, and technical product managers to obtain relevant datasets and create simulation models
- The candidates should be able to balance between scientific validity and business practicality in their work
- The candidates should be able to have a large impact on the entire NASC organization, with lots of opportunities to learn and grow within the NASC Engineering team
- The candidates should be able to define and drive vision for simulation best practices on the team, as this role is the first dedicated simulation expert
- The candidates should be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics, and deliver results that meet high standards of data quality, security, and privacy
Benefits:
- The candidates will get basic life, accidental death, dismemberment insurance, dental, vision plans, health, dependent care and Employee Assistance Program
How to apply:
If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.
We thank all the applicants for showing their interest and trust in us, however, only the most eligible candidates will be selected and conducted for further procedure directly from employers, in between no charges/fees or original documents will be asked from any applicant. All the best!