Mondo
Job Title:
Data Scientist
Location:
Remote or Hybrid (Wilmington, DE area preferred)
Start Date:
mid-to-late January 2026
Duration:
12-month contract
Compensation:
$65+ per hour W2
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
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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting
#J-18808-Ljbffr
Data Scientist
Location:
Remote or Hybrid (Wilmington, DE area preferred)
Start Date:
mid-to-late January 2026
Duration:
12-month contract
Compensation:
$65+ per hour W2
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
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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting
#J-18808-Ljbffr