- Bengaluru, India
- Mid Level
- Bachelor's degree
- Posted
Skills
Required
- Data Science
- Python
- Java
- SQL
- NumPy
- Pandas
- SciPy
- Matplotlib
- Git
- Linux / Unix
- Docker
Preferred
- statistical
- workflows
- simulations
- data processing pipelines
- ML
- DL
- integration
About Sandvik (Sandvik Jobs)
- Software Developer (Research & Development) At Sandvik Mining & Rock Technology India Pvt.
- Ltd.
- (Part of Sandvik Group), we offer you a world of opportunities.
- Our diverse businesses and global network enable you to explore your potential and thrive.
- Think one step further and then take it!
Responsibilities
- Key Responsibilities: Develop and validate computational models, algorithms, and data-driven solutions for research projects.
- Analyze large datasets and generate insights using scientific computing and statistical techniques.
- Build and automate research workflows, simulations, and data processing pipelines.
- Collaborate with researchers and technical teams to solve complex scientific and engineering problems.
- Document research findings, methodologies, and experimental results.
- Contribute to technical publications, reports, patents, and innovation initiatives.
- Contribute to the design and development of ML, DL, Physics-, and Mathematics-based models.
- Contribute to the training, validation, and testing of in-house developed models.
- Contribute to the deployment, integration, and operationalization of models in production environments.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
- Strong foundation in algorithms, data structures, and computational problem-solving.
- Experience in scientific programming, data analysis, or research-oriented software development.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and in collaborative research environments.
- Programming: Python, C/C++, Java, SQL, Bash/Shell Scripting Scientific Computing: NumPy, Pandas, SciPy, Matplotlib, Jupyter Notebook Research & Analytics: Statistical Analysis, Data Modeling, Experimentation, Data Visualization Tools & Platforms: Git, Linux/Unix, PyTest, Docker (preferred) Preferred: High-Performance Computing (HPC), Machine Learning, Workflow Automation