

Mondo
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a 12-month contract, starting mid-to-late January 2026, with a pay rate of $65+ per hour. Key requirements include a PhD in Chemical Engineering or related field, strong Python skills, and machine learning experience. Remote or hybrid location preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
December 24, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Wilmington, DE
-
🧠 - Skills detailed
#Azure #Data Science #Data Mining #R #MongoDB #ML (Machine Learning) #Data Engineering #Python #Cloud #Predictive Modeling #Visualization #SQL (Structured Query Language)
Role description
Apply now: Data Scientist, location is Remote or Hybrid (Wilmington, DE area preferred). The start date is mid-to-late January 2026 for this 12-month contract position.
Job Title: Data Scientist
Location-Type: Remote or Hybrid (Wilmington, DE area preferred)
Start Date Is: Mid-to-late January 2026
Duration: 12-month contract
Compensation Range: $65+ per hour W2
Job Description:
Join the client's R&D team as a Data Scientist focused on developing predictive models and data-driven insights for materials and formulation design.
Day-to-Day Responsibilities:
• Collect and preprocess experimental and database-driven data
• Develop and optimize predictive models using machine learning
• Perform data mining and statistical correlation analysis
• Support formulation design using computer vision and modeling techniques
• Present findings and insights to internal stakeholders and SMEs
• Collaborate closely with R&D, data engineering, and business teams
Requirements:
Must-Haves:
• PhD in Chemical Engineering, Analytical Chemistry, or related field
• Strong Python skills for data preparation, modeling, and visualization
• Experience with machine learning for R&D applications
• Background in data mining, predictive modeling, and statistical analysis
• Excellent communication skills and stakeholder engagement
Nice-to-Haves:
• Familiarity with SQL or MongoDB
• Experience with cloud computing (Azure preferred)
• Background in material science or formulation research
Benefits:
• This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility
Apply now: Data Scientist, location is Remote or Hybrid (Wilmington, DE area preferred). The start date is mid-to-late January 2026 for this 12-month contract position.
Job Title: Data Scientist
Location-Type: Remote or Hybrid (Wilmington, DE area preferred)
Start Date Is: Mid-to-late January 2026
Duration: 12-month contract
Compensation Range: $65+ per hour W2
Job Description:
Join the client's R&D team as a Data Scientist focused on developing predictive models and data-driven insights for materials and formulation design.
Day-to-Day Responsibilities:
• Collect and preprocess experimental and database-driven data
• Develop and optimize predictive models using machine learning
• Perform data mining and statistical correlation analysis
• Support formulation design using computer vision and modeling techniques
• Present findings and insights to internal stakeholders and SMEs
• Collaborate closely with R&D, data engineering, and business teams
Requirements:
Must-Haves:
• PhD in Chemical Engineering, Analytical Chemistry, or related field
• Strong Python skills for data preparation, modeling, and visualization
• Experience with machine learning for R&D applications
• Background in data mining, predictive modeling, and statistical analysis
• Excellent communication skills and stakeholder engagement
Nice-to-Haves:
• Familiarity with SQL or MongoDB
• Experience with cloud computing (Azure preferred)
• Background in material science or formulation research
Benefits:
• This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility






