Senior Data Scientist

Kaohsiung City - Taiwan

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title:

Senior Data Scientist

Job Description:

The Role:

We are seeking aSenior Data Scientistwith strong statistical analysis and experience in machine learning and mathematical modeling to support manufacturing analytics and digital business transformation projects. This role will focus on developing analytical tools advanced visualizations predictive models and prescriptive solutions to optimize production processes and quality outcomes.

What Youll Do:

Independently develop and maintain analytical tools using programming languages (e.g. SAS SQL Python).

Provide ad-hoc analytical support to cross-functional teams (e.g. manufacturing quality Lab planning IT) including data interpretation and statistical guidance.

Perform root cause analysis and statistical modeling to uncover trends and generate actionable insights.

Build and deploy machine learning models to forecast outcomes and optimize processes.

Apply operations research and mathematical modeling to recommend actionable optimization solutions in production.

Design and enhance interactive dashboards and reports using tools like SAS Visual Analytics and Power BI

Collaborate with the IT data engineering team to design implement enhance investigate and maintain existing data models and pipelines in Google Cloud Platform (GCP) and Snowflake.

Create user-friendly instruction slides and written reports that summarize analytical methods key findings and business implications.

Translate data into actionable insights by collaborating with cross-functional teams to define requirements develop analytical solutions and support implementation.

Operate as a subject matter expert on statistical analysis analysis methodology modeling & application and root-cause analysis.

Stay current with emerging technologies including agentic AI and apply relevant innovations to business challenges.

What We Seek:

Masters degree in Statistics Computer Science Engineering or a related field.

4 years of experience in a data science or analytics role preferably in a manufacturing setting.

Solid knowledge of statistical modeling data analysis techniques (ANOVA hypothesis testing) and machine learning models.

Advanced programming skills and the ability to write customized programs for meaningful data analysis (SAS SQL and Python)

Hands-on experience with data visualization tools (SAS Visual Analytics Power BI Tableau etc.)

Hands-on experience with querying data in cloud data platforms such as GCP Snowflake or Databricks.

Ability to process cleanse and verify the integrity of data used for analysis

Familiarity with prescriptive analytics (operational research) and mathematical optimization techniques.

Familiarity with cloud computing environments and experience with deploying models in cloud environments such as AWS Azure or GCP

Excellent communication skills with the ability to speak the language of both IT (technical) and business (functional) teams to ensure alignment and clarity.

Required Experience:

Senior IC

Job Title:Senior Data ScientistJob Description:The Role:We are seeking aSenior Data Scientistwith strong statistical analysis and experience in machine learning and mathematical modeling to support manufacturing analytics and digital business transformation projects. This role will focus on developi...

Job Title:

Senior Data Scientist

Job Description:

The Role:

What Youll Do:

Independently develop and maintain analytical tools using programming languages (e.g. SAS SQL Python).

Provide ad-hoc analytical support to cross-functional teams (e.g. manufacturing quality Lab planning IT) including data interpretation and statistical guidance.

Perform root cause analysis and statistical modeling to uncover trends and generate actionable insights.

Build and deploy machine learning models to forecast outcomes and optimize processes.

Apply operations research and mathematical modeling to recommend actionable optimization solutions in production.

Design and enhance interactive dashboards and reports using tools like SAS Visual Analytics and Power BI

Collaborate with the IT data engineering team to design implement enhance investigate and maintain existing data models and pipelines in Google Cloud Platform (GCP) and Snowflake.

Create user-friendly instruction slides and written reports that summarize analytical methods key findings and business implications.

Translate data into actionable insights by collaborating with cross-functional teams to define requirements develop analytical solutions and support implementation.

Operate as a subject matter expert on statistical analysis analysis methodology modeling & application and root-cause analysis.

Stay current with emerging technologies including agentic AI and apply relevant innovations to business challenges.

What We Seek:

Masters degree in Statistics Computer Science Engineering or a related field.

4 years of experience in a data science or analytics role preferably in a manufacturing setting.

Solid knowledge of statistical modeling data analysis techniques (ANOVA hypothesis testing) and machine learning models.

Advanced programming skills and the ability to write customized programs for meaningful data analysis (SAS SQL and Python)

Hands-on experience with data visualization tools (SAS Visual Analytics Power BI Tableau etc.)

Hands-on experience with querying data in cloud data platforms such as GCP Snowflake or Databricks.

Ability to process cleanse and verify the integrity of data used for analysis

Familiarity with prescriptive analytics (operational research) and mathematical optimization techniques.

Familiarity with cloud computing environments and experience with deploying models in cloud environments such as AWS Azure or GCP

Excellent communication skills with the ability to speak the language of both IT (technical) and business (functional) teams to ensure alignment and clarity.

Required Experience:

Senior IC