About this role
The Senior Engineer - Data Science & Analytics is responsible for developing and implementing data-driven solutions to address complex business and technical requirements. This role involves analyzing large datasets, building predictive models, and creating visualizations to generate actionable insights for stakeholders across the organization.
Main Roles and Responsibilities
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 analysisApply 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.
Job Requirements
At least 3–4 years of experience.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.Experience with Data Warehouse (Vault Design).Ability to implement solutions from scratch and build products across the full product lifecycle based on the following requirements:Data Science & Statistical Modeling: Statistical Inference, Machine Learning, Model Validation & Evaluation, NLPData Engineering & Data Pipeline: Data Management, Data Modelling & Design, Python, RML Deployment & MLOps: Machine Learning Model Deployment, MLOps / ML Lifecycle ManagementAI / Deep Learning Technologies: PyTorch, Keras, Large Language Models (LLMs), Vector DBProficient in English Communication.Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.Nice to Have
A Master’s degree is preferred.Proficiency in Excel / Office Applications, data presentation, and business-facing analytics. Why BOSCH?
Because we don't just follow trends, we create them.
Because 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 VietnamJoin a dynamic and fast growing global company (English-speaking environment)13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal100% monthly basic salary and mandatory social insurances in 2-month probationOnsite opportunities: short-term and long-term assignments15++ days of annual leave + 1 day of birthday leavePremium health insurance for employee and 02 family membersFlexible working timeLunch and parking allowanceVarious training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skillsFitness & sport activities: football, badminton, yoga, AerobicFree in-house entertainment facilities and snackJoin in various team building, company trip, year-end party, tech talks and a lot of charity events