Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
Data Science
Artificial Intelligence
Amazon Web Services
Data Analysis
Google Cloud Platform
Microsoft Azure
PyTorch
Python
SQL
Machine Learning (ML)
Large Language Models (LLMs)
Scripting
Databricks
Job Details
Responsibilities:
- Perform complex data analysis and statistical modeling.
- Develop and optimize machine learning models.
- Lead data science projects from conception to deployment.
- Collaborate with business leaders to identify data-driven opportunities.
- Mentor and guide junior data scientists and analysts.
- Create compelling data visualizations and present findings to stakeholders.
- Ensure data quality, integrity, and accessibility.
- Stay current with advancements in data science and AI.
Required Qualifications:
- Bachelor's in Data Science, Statistics, Computer Science, or a related field.
- 10+ years of experience in data science or a related field.
- 5+ years of experience in understanding business problems and formulating AI solutions.
- 5+ years of experience in one of the scripting languages, such as Java, Python, R, or SQL.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Experience developing and deploying models in one of the cloud environments, such as AWS, Azure, or Google Cloud Platform.
- Strong expertise in statistical analysis and feature engineering techniques.
- Proven experience in building fraud detection systems using advanced machine learning models.
- Hands-on experience using co-pilot assistants (e.g., GitHub Copilot, OpenAI tools) to accelerate feature delivery and streamline development workflows.
- Ability to initiate and drive projects from start to completion with minimal guidance.
- Ability to communicate the results of analysis in a clear and effective manner.
Preferred Qualifications:
- Master's or PhD in Data Science, Statistics, Computer Science, or a related field.
- Experience working with Azure Databricks, Azure ML, OpenAI, and Large Language Models (LLMs).
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.