R&D Associate Engineer – Data Science

ABB

Your responsibilities

 

  • Designing and implementing technical solutions that meet business needs and objectives
  • Developing and implementing of machine learning models, focusing on supervised and unsupervised learning techniques
  • Conducting data analysis, exploratory data analysis (EDA) and data cleaning to prepare data for modeling
  • Collaborating with senior team members to evaluate the performance of machine learning models and assisting in model fine-tuning
  • Creating data visualizations to communicate insights and findings to the team
  • Supporting statistical analysis, hypothesis testing. Preparing documentation of analysis and modeling methodologies

Your background

  • Bachelor’s or Master’s degree or MS (by Research) in Computer Science or Statistics or Mathematics or Data Science
  • Strong academic foundation in data science and machine learning or data engineering certification. Intermediate level Proficiency in programming languages such as Python or R with minimum 2 to 5 years of experience
  • Basic knowledge of machine learning concepts and techniques like Variance or Bias in modelling, feature engineering, over sampling or Under sampling, etc
  • Familiarity with data analysis and visualization tools e.g., Pandas, Matplotlib, Seaborn
  • Strong problem-solving and analytical skills
  • Knowledge of process industry standards and best practices, challenges and opportunities
  • Good communication skills and an eagerness to learn and collaborate

To apply for this job please visit careers.abb.

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