Asks for

The ad says“Data Engineering & Data Pipeline: Data Management, Data Modelling & Design, Python, R”
The ad says“Data Engineering & Data Pipeline: Data Management, Data Modelling & Design, Python, R”
The ad says“Experience with Data Warehouse (Vault Design).”
The ad says“AI / Deep Learning Technologies: PyTorch, Keras, Large Language Models (LLMs), Vector DB”
The ad says“AI / Deep Learning Technologies: PyTorch, Keras, Large Language Models (LLMs), Vector DB”
The ad says“Data Science & Statistical Modeling: Statistical Inference, Machine Learning, Model Validation & Evaluation, NLP”
The ad says“ML Deployment & MLOps: Machine Learning Model Deployment, MLOps / ML Lifecycle Management”
The ad says“Data Science & Statistical Modeling: Statistical Inference, Machine Learning, Model Validation & Evaluation, NLP”
The ad says“Data Science & Statistical Modeling: Statistical Inference, Machine Learning, Model Validation & Evaluation, NLP”
The ad says“Proven experience with modern data science frameworks and libraries (e.g., Scikit-learn, Pandas, TensorFlow, PyTorch) is required.”
The ad says“Data Engineering & Data Pipeline: Data Management, Data Modelling & Design, Python, R”
The ad says“AI / Deep Learning Technologies: PyTorch, Keras, Large Language Models (LLMs), Vector DB”
The ad says“Data Engineering & Data Pipeline: Data Management, Data Modelling & Design, Python, R”
The ad says“Proven experience with modern data science frameworks and libraries (e.g., Scikit-learn, Pandas, TensorFlow, PyTorch) is required.”
The ad says“Data Science & Statistical Modeling: Statistical Inference, Machine Learning, Model Validation & Evaluation, NLP”
The ad says“Proven experience with modern data science frameworks and libraries (e.g., Scikit-learn, Pandas, TensorFlow, PyTorch) is required.”
The ad says“AI / Deep Learning Technologies: PyTorch, Keras, Large Language Models (LLMs), Vector DB”

Company Description

The Bosch Group is a leading global supplier of technology and services. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources.

The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development.

Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH, offering end-to-end Engineering, IT, and Business Solutions.

Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region. With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.

BGSV currently operates from three offices located at the following addresses:

1. Etown Building – 364 Cong Hoa Street, Ward 13, Tan Binh District, Ho Chi Minh City, Vietnam

2. OfficeHaus Building – 32 Tan Thang Street, Son Ky Ward, Tan Phu District, Ho Chi Minh City, Vietnam

3. Capital Place Building – 29 Lieu Giai Street, Ngoc Khanh Ward, Ba Dinh District, Hanoi, Vietnam

Job Description

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 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.

Qualifications

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, NLP
- Data Engineering & Data Pipeline: Data Management, Data Modelling & Design, Python, R
- ML Deployment & MLOps: Machine Learning Model Deployment, MLOps / ML Lifecycle Management
- AI / Deep Learning Technologies: PyTorch, Keras, Large Language Models (LLMs), Vector DB
Proficient 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.

Additional Information

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 Vietnam
Join a dynamic and fast growing global company (English-speaking environment)
13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
100% monthly basic salary and mandatory social insurances in 2-month probation
Onsite opportunities: short-term and long-term assignments
15++ days of annual leave + 1 day of birthday leave
Premium health insurance for employee and 02 family members
Flexible working time
Lunch and parking allowance
Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills
Fitness & sport activities: football, badminton, yoga, Aerobic
Free in-house entertainment facilities and snack
Join in various team building, company trip, year-end party, tech talks and a lot of charity events