5017 Data Scientist/Analyst

Toshiba America Electronic Components, Inc; San Jose (CA); On-site; USD 99,000 - 140,000; Full time

Job summary

Toshiba America Electronic Components, Inc. is seeking a Data Scientist/Analyst to develop data pipelines, ML models, and analytics products from large-scale data sources, including hard drive telemetry from data center deployments.

The role applies data science to improve product reliability, customer support, and business decision-making across the organization. The ideal candidate works end-to-end - from raw data through deployed, maintained systems - and communicates effectively with

Qualifications

• MS or BS in Data Science, Computer Science, Data Analytics, Engineering, or equivalent.
• 3 years of professional experience delivering data science or data engineering projects to production.
• Proficiency in Python and SQL, as well as common Python libraries like Pandas, NumPy, and Scikit-learn.
• Experience with machine learning frameworks, model training, and validation.
• Experience with cloud services (Azure, AWS, Google cloud)
• Experience with Git and version control workflows
• Strong problem solving and communication skills

Responsibilities

• Develop, deploy, and maintain machine learning models for prediction and analytics use cases, including retraining, monitoring, and evaluation
• Design and maintain automated data pipelines for large-scale data ingestion, processing, and storage across cloud and on premises environments
• Build and support interactive dashboards and automated reporting for internal teams and customers
• Develop tooling to onboard and process new data sources, both internal and customer-provided
• Work closely with engineering, quality, sales, and marketing stakeholders to formulate problem statements and deliver analytics solutions
• Respond to ad hoc data questions and analysis requests from stakeholders as they arise
• Communicate key findings to technical and business audiences, including senior stakeholders and customers
• Research and evaluate new techniques and technologies in data science and machine learning
• Maintain clear documentation and technical standards

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

Git

Education

Bachelor's or Master's in Data Science/CS/Data Analytics/Engineering

Tools

Azure

AWS

Google Cloud

Job description

Job Summary:

We are seeking a Data Scientist/Analyst to develop data pipelines, machine learning models, and analytics products from large-scale data sources, including hard drive telemetry from data center deployments. The role applies data science to improve product reliability, customer support, and business decision-making across the organization. The ideal candidate works end-to-end - from raw data through deployed, maintained systems - and communicates effectively with engineering, sales, executive, and customer stakeholders.

Key Responsibilities:

• Develop, deploy, and maintain machine learning models for prediction and analytics use cases, including retraining, monitoring, and evaluation


• Design and maintain automated data pipelines for large-scale data ingestion, processing, and storage across cloud and on premises environments


• Build and support interactive dashboards and automated reporting for internal teams and customers


• Develop tooling to onboard and process new data sources, both internal and customer-provided


• Work closely with engineering, quality, sales, and marketing stakeholders to formulate problem statements and deliver analytics solutions


• Respond to ad hoc data questions and analysis requests from stakeholders as they arise


• Communicate key findings to technical and business audiences, including senior stakeholders and customers


• Research and evaluate new techniques and technologies in data science and machine learning


• Maintain clear documentation and technical standards

Required Qualifications:

• M.S. or B.S. in Data Science, Computer Science, Data Analytics, Engineering, or equivalent


• 3 years of professional experience delivering data science or data engineering projects to production


• Proficiency in Python and SQL, as well as common Python libraries like Pandas, NumPy, and Scikit-learn


• Experience with machine learning frameworks, model training, and validation


• Experience with cloud services (Azure, AWS, Google cloud)


• Experience with Git and version control workflows
  
• Strong problem solving and communication skills

Preferred Qualifications:

• Experience with large-scale time series or sensor data


• Comfortable working in Windows and Linux environments


• Dashboard and data product development experience


• Experience with GPU computing and on-premises ML development


• Familiarity with AI tools and their application to development and analytics workflows


• Storage industry or hardware domain knowledge

Salary Range: $99,400 - $140,000