Job description
Data Scientist - Remote
Client is looking for only GC and USC
Qualifications
· Bachelor's degree or foreign equivalent in Computer Science, Statistics, Engineering, Economics, Information Systems, or a related field and three years of experience in the job offered or in a related occupation
· Must have 5 year of experience in the following skills: hands-on experience with applying data science techniques to identify anomalous behavior patterns in a production environment; experience with extracting, cleaning, and transforming data, and working with data owners to understand the data; using database technologies including SQL, ETL or Oracle; and applying specialized modelling software including SAS, R, Python, Stata, or Matlab
· Advanced Tableau visualization skills
· Knowledge of the software development lifecycle and Knowledge of Agile philosophy and workflow Responsibilities
· Build the core intelligence, insights, and algorithms that support the real estate acquisition strategies for Amazon physical stores
· Tackle cutting-edge, complex problems such as predicting the optimal location for new Amazon stores by bringing together numerous data assets, and using best-in-class modeling solutions to extract the most information out of them
· Knowledge of using version control software such as Gitlab for team collaboration
· Advanced machine learning knowledge, and model development
· Effective and strong written and oral communication skills
Responsibilities
- The Data Scientist has the overall responsibility to serve as the strategic interface with assigned business units or functional area for the purpose of business analytics strategy development, solution development and service management, related to business intelligence and advanced analytics initiative
- Data Scientist serves as the partner between business units and Analytics teams including Enterprise Analytics, Enterprise Architecture, IT, and Business Pillars
- They partner with business leadership and other key stakeholders to define opportunities and identify and prioritize projects based on predefined criteria such as return on customer experience, investment, productivity, efficiency, compliance and state/federal regulations
- Proactively serves as a “trusted analytics advisor” and is the primary Analytics Pod point of contact to business stakeholders for Data Science and Advanced Analytics related issues
- Provides support in delivering analytics products that meet the needs of the business
- The “Lead Data Scientist” focuses on strategic initiatives and planning activities for their business area
- They serve a lead role in enabling the business to achieve their objectives through the effective use of analytics
- Responsible for the development and implementation of Data Science roadmaps and to ensure successful introductions across the functional team and with customers
- Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management
- Develop solution concepts and business cases for new analytical initiatives
- Perform business analysis and prepare recommendations and business plans as needed
- Translate the Data Science solution roadmap into an executable plan
- Responsible for detailed data science business requirements documentation
- Create and analyze relevant information and develop recommendations that they present to various stakeholders
- Act as the key liaison across aligned functional areas, including business units, the information technology department, and outside vendors
- Oversee the launch of analytical solutions and help to maximize the positive impact on the organization
- Utilize the appropriate technologies and ensure that customers have the solutions they need, when they need them, and in the media best suited to their requirements
- Collaborate with enterprise architecture and IT teams to ensure solution compatibility with company standards
·
Job Type: Contract
Pay: $70.00 - $100.00 per hour
Schedule:
- Monday to Friday
Experience:
- Python: 5 years (Required)
- Tableau: 5 years (Required)
Work Location: Remote
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