Data Scientist

  • Posted 10 days ago | Updated 10 hours ago

Overview

Remote
Full Time

Skills

Art
Data Analysis
Electronic commerce
Algorithms
Writing
Organized
Workflow
DirectShow
DS
Thought leadership
Documentation
Python
Customization
Machine Learning (ML)
Optimization
Forecasting
Software development
Data engineering
Data Science
DevOps
Git
Docker
Supply chain management
Artificial intelligence
Cloud computing
Kubernetes
Apache Hadoop
Apache Spark

Job Details

Role: Data Scientist

Location: Remote-USA

Type: Full Time(Can't sponsor visa for this role)

Need experience in eCommerce and Supply Chain.

Responsibilities:
- Work on state-of-the-art large-scale data analytics and machine learning projects
- Work with the larger eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns, and insights.
- Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the DS team
- Provide critical thought leadership to enhance organizational capabilities by utilizing a variety of data sets
- Work with business stakeholders to identify and execute opportunities for enhancement
- Create documentation and best practices to share with the ML community

Qualifications:
- Master's Degree in STEM or equivalent
- Minimum five years of relevant work experience
- Experience designing and developing machine learning solutions using a variety of data sources
- Strong programming skills, especially in Python
- Expertise in customizing Modern ML systems, including optimization and forecasting.
- Experience and functional familiarity with software development and data engineering best practices
- Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions
- Demonstrated ability to communicate with both business and technical audiences effectively and concisely
- Experience with DevOps tools such as git, Docker, Datadog, etc.
- Experience in supply chain
- Experience in building AI applications
- Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.