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.