Data Scientist – Material Analytics
Udbhava Avinya Bharat LLPResume Keywords to Include
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Job Description
Job Title: Data Scientist – Material Analytics
Location: India (On-site / Hybrid)
Company: Udbhava Avinya Bharat
Employment Type: Full-Time
About the Role
We are seeking a data-driven and analytical Data Scientist to support the development of biodegradable and sustainable materials. This role focuses on transforming experimental and performance data into actionable insights to enhance product efficiency, durability, and scalability.
Key Responsibilities
- Process, clean, and analyze material performance and experimental datasets
- Identify patterns in degradation rates, strength, durability, and usability
- Develop predictive models to forecast material behavior under different conditions
- Generate insights to support product optimization and R&D decisions
- Collaborate closely with scientists, product teams, and quality control
- Build dashboards and reports for data-driven decision-making
Required Qualifications
- Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field
- Strong proficiency in Python/R, SQL, and data analysis libraries (Pandas, NumPy, etc.)
- Experience with data modeling, machine learning, and statistical analysis
- Ability to work with experimental or scientific datasets
- Strong problem-solving and analytical thinking
Preferred Skills
- Experience in material science, chemistry, or biomedical datasets
- Knowledge of predictive modeling for physical/chemical systems
- Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)
- Experience working in R&D or product-driven environments
Why Join Us?
- Work on cutting-edge sustainability and material innovation
- Opportunity to directly impact real-world product development
- Collaborative environment with scientists and innovators
- Be part of a mission-driven organization building eco-friendly solutions
Job Type: Full-time
Pay: ₹14,793.87 - ₹50,000.00 per month
Benefits
- Work from home
Work Location: In person
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