Apply statistical techniques and data visualization tools to analyze data sets and extract meaningful insights.
Interpret the results of data analysis and translate them into actionable recommendations for stakeholders.
Develop and implement statistical\ML models and algorithms to solve specific business problems or make predictions.
Create and maintain optimal data pipeline architecture and tools for internal process improvements which include automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Machine Learning Modeling: Develop, train, and evaluate machine learning models using algorithms such as regression, classification, clustering, and deep learning.
Perform other duties as assigned.
Qualifications
REQUIRED:
Bachelor's Degree or higher in Computer Science, Statistics, Informatics, Information Systems, engineering or equivalent fields.
At least 1 years of relevant experience.
Data analysts need strong analytical skills to interpret complex data sets and extract meaningful insights. This includes the ability to identify trends, patterns, and correlations within the data.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data platforms, esp. MySQL, PostgreSQL and MSSQL.
Proficiency in programming languages commonly used in data science such as Python. Additionally, proficiency in using data science tools and frameworks.
Skills
Strong written and verbal communication in English
Strong project management and organizational skills. Able to work and communicate well with cross-functional teams in a dynamic environment.
Skills
Oral Communication
Microsoft SQL Server
Mechanical engineering
Product Design
Computer-Aided Design (CAD)
Data Analysis
Functions
Engineering
Job Overview
Job Type:
Full-Time
Company
Western Digital
25 active jobs
Industry:
Technology
Ready to Apply?
Submit your application now and take the next step in your career journey.