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
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💰 - Day rate
520
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🗓️ - Date
December 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Wilmington, DE
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🧠 - 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