Bosch Global Software Technologies (BGSV)

Overview of job

• Develop statistical models and machine learning algorithms to identify trends, patterns, and correlations in large-scale datasets as per communication and alignment with customer or customer interface.
• Design and build data visualizations, dashboards, and reports to communicate analytical findings to technical and non-technical stakeholders.
• Perform exploratory data analysis and feature engineering to prepare and enrich datasets for modelling and analysis
• Apply advanced statistical techniques to solve classification, regression, and clustering problems.
• Utilize programming languages and data manipulation libraries to clean, transform, and analyze data efficiently.
• Validate model performance and ensure the reliability and accuracy of analytical solutions through rigorous testing and evaluation methodologies.
• Contribute to technical design reviews by providing data-driven perspectives and collaborating with team members on solution improvements.
• Support team members by sharing knowledge of data science techniques, troubleshooting complex analytical problems, and participating in peer code reviews.
• Ensure compliance with applicable industry standards, regulatory requirements, company policies, and quality frameworks applicable to the role and assigned projects.
• Perform other tasks as assigned by Managers.

Why BOSCH?

Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work.

Benefits and Career Opportunities

• Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world
• English-speaking environment, with opportunity to be part of innovation team and work in global projects
• Onsite opportunities
• Engage in our diverse training programs which surely help strengthen both your personal and professionalism
• Flexible working time
• 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
• 100% offered salary and mandatory social insurances in 2-month probation
• 15+ days of annual leave + 1-day of birthday leave
• Premium health insurance for employee and 02 family members
• Lunch and parking allowance
• Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

• Proven professional experience in data science or analytics, with demonstrated experience in building and deploying machine learning models.
• Proven experience with modern data science frameworks and libraries (e.g., Scikit-learn, Pandas, TensorFlow, PyTorch) is required.
• Data Management, Data Modelling and Design, Keras.
• Large Language Models (LLMs).
• Machine Learning Model Deployment.
• MLOps / ML Lifecycle Management.
• Model Validation & Evaluation.
• Natural Language Processing (NLP).
• Python (Programming Language).
• PyTorch.
• R (Programming Language).
• Statistical Inference.
• Vector DB.
• Proficient in English Communication
• Proficient in Office Applications (e.g. MS Word, Excel, PPT)
• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• A Master's degree is preferred.