Costco Jobs In Virginia - wfh jobs id-9520
Qualifications
The Ideal Candidate Will Have In-Depth Knowledge Of Using Data Science For Forecasting, Customer Analytics, Product And Inventory Management, And Other Sales Areas
Developed Knowledge Of Data Structures And Metrics And Advocated Appropriate Changes In Production
3+ Years Of Experience Delivering Business Insights Using Advanced Data And Machine Learning Models And Insights
Ability To Work With Various Databases And Other Documents
Good Knowledge Of Machine Learning, Statistics, And Reporting Tools (Python, R, Sql, Powerbi)
Knowledge Of Deep Learning And Neural Networks And Their Applications
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Experience Working With Cloud-Based Analytics Platforms (Aws, Azure)
Bachelor's Degree In Computer Science, Data Science, Statistics/Mathematics, Or Other Fields
Knowledge Of Agile Software Development
Experience In Software Development
Have A Retail Business
Excellent Oral And Written Communication Skills
Benefits
Salary:- $20 – $30/Hour
Responsibilities
Work Hours:- 8 Hours
This Role Focuses On Providing Advanced Analytics, Machine Learning, And Data Science To Support Various Infosec Issues
This Role Works With Security Operations And Other Data Owners To Develop And Test The Best Solutions And Convert Data Into Recommendations
A Data Scientist Is An Experienced Leader Who Is Passionate About Data And Can Use Machine Learning To Solve Security Problems
Developed Analytical Procedures To Solve Business Problems
Perform End-To-End Analysis, Including Data Collection And Requirements Specification, Processing, Analysis, Deployment, And Presentation
Process, Clean, And Verify The Accuracy Of Data Used For Analysis
Improved Commercial Information With External Information If Necessary
Extract And Analyze Data From Corporate Databases Using Data Statistics, Machine Learning, And Analytics To Drive Optimization And Improve Product Design, Marketing, Business Ideas, And More
Use Predictive Models To Improve And Optimize the Supply Chain, Customers, Loyalty Programs, And Other Business Processes
Selected Features And Used Machine Learning Techniques To Design And Optimize Courses
Evaluate The Effectiveness And Accuracy Of New Data And Data Collection Procedures
Improve The Data Collection Process To Include Information Related To The Design Of The Selection Process
Established The Company's Test Framework And Test Model
Worked With Cross-Functional Teams To Implement Models And Monitor Results
Developed Processes And Tools To Monitor And Analyze Performance Standards And Data Accuracy
Created A Bug Detection System And Regularly Monitored Its Performance
Perform Ad Hoc Analyzes And Clearly Present The Results
Worked With Stakeholders Across The Organization To Understand Demand And Business Issues And Identify Opportunities To Use Enterprise Data To Deliver Business Solutions
Drive Analytics Using Statistical, Machine Learning, And Analytics Methods To Predict And Optimize Business Outcomes
Design And Create Ml/Dl Models To Solve Business Problems
Correct Current Issues And Assumptions
Regularly Evaluate The Efficiency And Accuracy Of The Model
Identify New Information That Could Improve The Quality And Accuracy Of Models To Improve Forecasts
Communicate Effectively Through Storytelling And Visualization
Use Machine Learning Techniques To Guide Teams In Efficient Operations
Performed Employee Reviews Of Other Research Documents
Provide Feedback To Improve Test Models And Mlops
Continue Beyond Basic Data Science Functions To Make Data Arguments And Organize Data As Needed
Scheduling To Meet Business Needs, Including Nights, Weekends And Holidays