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Software Developer

Sandvik (Sandvik Jobs)

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