Sr. Data ScientistMPIN

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role and Responsibilities

Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.
Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data applying statistical methods as necessary discover the hidden patterns and viewing experiences to identify critical data insights.
Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements
Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.
Translate analytic insights into concrete actionable recommendations for business or product improvement.
Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
Independently handle the products/projects and provide technical directions to the other team members.
Develop dashboards using software like PowerBI to share algorithm results to end users
Strong interpersonal and communication skills: ability to tell a clear concise actionable story with data to folks across various levels of the company.
Technical directions to junior in team like to sort the respective task for appropriate team members mentoring them technically etc.

Qualifications :

Masters from a reputed Indian institutes in the area of Statistics Machine Learning Computer Science etc.

Additional Information :

Technical Skills

Must Have

Strong expertise in Python and key data science libraries (e.g. pandas NumPy scikit-learn PyTorch/TensorFlow/Keras).
Proven experience in classical ML algorithms regression classification clustering decision trees random forests SVMs neural networks etc.
Solid grounding in statistical analysis and hypothesis testing (DOE forecasting segmentation uncertainty analysis etc.).
Hands-on experience with data preprocessing feature engineering imputation cleansing transformation and data exploration techniques (mean-variance k-means nearest neighbor outlier detection etc.).
Strong understanding of machine learning pipeline design from data ingestion to model evaluation and deployment.
Experience with deep learning frameworks for solving applied problems (e.g. CNNs RNNs Transformers).
Experience working with NLP.
Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.
Working knowledge of Docker CI/CD pipelines and API development (Flask/Django).
Experience developing dashboards or reports in Power BI or similar tools.
Experience mentoring and providing technical direction to team members.

Nice to Have

Experience with LLM-based and GenAI solutions including:
- RAG Agentic RAG Graph RAG Chain/Tree of Thoughts LangChain content extraction/summarization and chat applications.
Applied experience in Computer Vision (object detection defect detection OCR etc.).
Domain expertise in one or more of:
- Supply Chain Analytics inventory optimization demand forecasting.
- Sales Analytics recommendation systems customer segmentation price elasticity.
- Manufacturing Analytics root cause analysis scrap reduction cycle time reduction warranty analytics.

Soft Skills

Excellent communication and storytelling skills able to translate data insights into clear business-focused narratives.
Strong stakeholder management and collaboration abilities across diverse teams.
Ability to work independently on complex projects while guiding and developing others.

Remote Work :

Employment Type :

Full-time

Role and Responsibilities Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine...

Role and Responsibilities

Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.
Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data applying statistical methods as necessary discover the hidden patterns and viewing experiences to identify critical data insights.
Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements
Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.
Translate analytic insights into concrete actionable recommendations for business or product improvement.
Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
Independently handle the products/projects and provide technical directions to the other team members.
Develop dashboards using software like PowerBI to share algorithm results to end users
Strong interpersonal and communication skills: ability to tell a clear concise actionable story with data to folks across various levels of the company.
Technical directions to junior in team like to sort the respective task for appropriate team members mentoring them technically etc.

Qualifications :

Masters from a reputed Indian institutes in the area of Statistics Machine Learning Computer Science etc.

Additional Information :

Technical Skills

Must Have

Strong expertise in Python and key data science libraries (e.g. pandas NumPy scikit-learn PyTorch/TensorFlow/Keras).
Proven experience in classical ML algorithms regression classification clustering decision trees random forests SVMs neural networks etc.
Solid grounding in statistical analysis and hypothesis testing (DOE forecasting segmentation uncertainty analysis etc.).
Hands-on experience with data preprocessing feature engineering imputation cleansing transformation and data exploration techniques (mean-variance k-means nearest neighbor outlier detection etc.).
Strong understanding of machine learning pipeline design from data ingestion to model evaluation and deployment.
Experience with deep learning frameworks for solving applied problems (e.g. CNNs RNNs Transformers).
Experience working with NLP.
Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.
Working knowledge of Docker CI/CD pipelines and API development (Flask/Django).
Experience developing dashboards or reports in Power BI or similar tools.
Experience mentoring and providing technical direction to team members.

Nice to Have

Experience with LLM-based and GenAI solutions including:
- RAG Agentic RAG Graph RAG Chain/Tree of Thoughts LangChain content extraction/summarization and chat applications.
Applied experience in Computer Vision (object detection defect detection OCR etc.).
Domain expertise in one or more of:
- Supply Chain Analytics inventory optimization demand forecasting.
- Sales Analytics recommendation systems customer segmentation price elasticity.
- Manufacturing Analytics root cause analysis scrap reduction cycle time reduction warranty analytics.

Soft Skills

Excellent communication and storytelling skills able to translate data insights into clear business-focused narratives.
Strong stakeholder management and collaboration abilities across diverse teams.
Ability to work independently on complex projects while guiding and developing others.

Remote Work :

Employment Type :

Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Bosch Group

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

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