Mondo
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis, 100% remote, with a pay rate of $65-75/hr. Requires a PhD in Chemical Engineering or Chemistry, strong Python or R skills, and experience in machine learning, NLP, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
April 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Wilmington, DE
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🧠 - Skills detailed
#Classification #SQL (Structured Query Language) #NLP (Natural Language Processing) #Visualization #Microsoft Power BI #R #Data Engineering #Neural Networks #ML (Machine Learning) #Clustering #BI (Business Intelligence) #Programming #Knowledge Graph #Statistics #Data Lake #Azure #AI (Artificial Intelligence) #Supervised Learning #Data Science #Regression #Python #Databricks #Datasets
Role description
Apply now: Data Scientist, location is Remote. The start date is TBD for this Contract position.
Job Title: Data Scientist
Location-Type: 100% Remote (can be located in EST or CST time zones)
Start Date: ASAP
Duration: Contract (Possible to Hire)
Compensation Range: $65-75/hr on W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship.
Job Description:
The Data Scientist will develop and deploy advanced analytics and machine learning solutions to support research, manufacturing, and business initiatives.
Day-to-Day Responsibilities:
• Clean, prepare, and analyze large datasets
• Build and validate machine learning and statistical models
• Develop predictive and optimization algorithms
• Collaborate with cross-functional teams to deploy data solutions
• Communicate insights and results to non-technical stakeholders
• Work with data engineers to access and structure data
• Create visualizations, reports, and dashboards
Requirements:
Must-Haves:
• PhD in Chemical Engineering or Chemistry
• Strong programming skills in Python or R
• Solid foundation in statistics (regression, hypothesis testing)
• Experience with machine learning (classification, clustering, neural networks)
• Experience with supervised learning techniques (e.g., random forest, XGBoost, Lasso)
• Knowledge of Generative AI (LLMs, RAG, agentic AI frameworks)
• Experience with NLP, knowledge graphs, or advanced retrieval techniques
• SQL proficiency and data visualization experience
• Strong communication and collaboration skills
Nice-to-Haves:
• Experience with Azure (Data Lake, Data Factory, Databricks)
• High Performance Computing (HPC) experience
• Experience with Power BI or Node.js
• Experience in manufacturing, R&D, or supply chain domains
Apply now: Data Scientist, location is Remote. The start date is TBD for this Contract position.
Job Title: Data Scientist
Location-Type: 100% Remote (can be located in EST or CST time zones)
Start Date: ASAP
Duration: Contract (Possible to Hire)
Compensation Range: $65-75/hr on W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship.
Job Description:
The Data Scientist will develop and deploy advanced analytics and machine learning solutions to support research, manufacturing, and business initiatives.
Day-to-Day Responsibilities:
• Clean, prepare, and analyze large datasets
• Build and validate machine learning and statistical models
• Develop predictive and optimization algorithms
• Collaborate with cross-functional teams to deploy data solutions
• Communicate insights and results to non-technical stakeholders
• Work with data engineers to access and structure data
• Create visualizations, reports, and dashboards
Requirements:
Must-Haves:
• PhD in Chemical Engineering or Chemistry
• Strong programming skills in Python or R
• Solid foundation in statistics (regression, hypothesis testing)
• Experience with machine learning (classification, clustering, neural networks)
• Experience with supervised learning techniques (e.g., random forest, XGBoost, Lasso)
• Knowledge of Generative AI (LLMs, RAG, agentic AI frameworks)
• Experience with NLP, knowledge graphs, or advanced retrieval techniques
• SQL proficiency and data visualization experience
• Strong communication and collaboration skills
Nice-to-Haves:
• Experience with Azure (Data Lake, Data Factory, Databricks)
• High Performance Computing (HPC) experience
• Experience with Power BI or Node.js
• Experience in manufacturing, R&D, or supply chain domains
