Data Scientist I, Data Science at Western Digital

Biñan, Calabarzon, Philippines

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data StorageIndustries

Requirements

Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related field
At least 1 year of work experience in the AI/ML lifecycle, applying machine learning techniques to diverse data types
Proficient in Python, R, SQL, data visualization tools, model deployment, and collaborative development
Additional skills in generative AI, RPA, and UI/UX design
Experience working with structured, semi-structured, and unstructured data sources
Knowledge of the AI/ML lifecycle management and tools, including EDA, Modeling, Integration/Deployment, Data/Model drift detection, Model retraining
Knowledge in web crawling, natural language processing, and visualization
Familiarity with core techniques in statistical and machine learning (e.g., regularized regression, time series analysis, decision trees, boosting algorithms, neural networks, clustering, collaborative filtering)
Familiar with collaborative solutions, model & code versioning (GitHub), solution packaging (Docker), model deployment (Dataiku)
Proficient in programming languages such as Python, R, and SQL (for data manipulation, cleaning, and analysis), Tableau, PowerBI or Spotfire, NumPy, Pandas, and Matplotlib

Responsibilities

Collect and extract large sets of structured and unstructured data from various sources such as databases, APIs, and web scraping
Develop predictive models using machine learning algorithms to forecast trends and future outcomes
Develop and integrate AI agents to automate data collection, preprocessing, and analysis tasks, enhancing efficiency and scalability
Utilize generative AI models to create synthetic data, augment data sets, and generate insights
Deploy models, systems, and AI agents developed; monitor and maintain them to ensure they are working effectively
Document processes and methodologies to ensure that work is reproducible and can be audited
Work with cross-functional teams such as product managers, software engineers, and business analysts to identify business problems and develop solutions
Explain complex technical concepts to non-technical stakeholders in a clear and concise manner

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIData CollectionData ProcessingPredictive ModelingAI AgentsSQLAPIsWeb ScrapingData AnalysisModel Deployment

Questions & Answers

Common questions about this position

What is the work location for this Data Scientist role?

The position is on-site.

What education and experience are required for this position?

A Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related field is required, along with at least 1 year of work experience in the AI/ML lifecycle applying machine learning to diverse data types.

What technical skills are needed for this Data Scientist I role?

Proficiency in Python, R, SQL, and data visualization tools is required.

What does the company culture at Western Digital emphasize?

Western Digital is a company of problem solvers that powers global innovation, pushes technology boundaries, and collaborates to build the future of data storage.

What makes a strong candidate for this Data Scientist position?

Strong candidates will have hands-on experience in the AI/ML lifecycle, proficiency in Python, R, SQL, and data visualization, plus the ability to work with cross-functional teams and communicate technical concepts clearly.

Western Digital

Provides data storage solutions and services

About Western Digital

Western Digital provides a variety of data storage solutions, including Network Attached Storage (NAS), Storage Area Network (SAN), private cloud, and hyper-converged infrastructure. Their products are designed to help businesses manage and store data efficiently and reliably. For example, their all-flash arrays are optimized for high input/output applications, while the JetStor brand offers cost-effective NAS and SAN arrays that support multiple host ports for improved performance. What sets Western Digital apart from its competitors is its extensive experience in the data storage market and its ability to cater to a wide range of clients, from large corporations to small businesses. The company's goal is to deliver high-value storage solutions that meet the diverse needs of its customers, ensuring they have the tools necessary for effective data management.

San Jose, CaliforniaHeadquarters

2014Year Founded

$927.9MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

10,001+Employees

Benefits

Paid sick leave & vacation time

Medical/dental/vision insurance

Life, accident, & disability insurance

Tax-advantaged flexible spending and health savings accounts

Employee assistance program

Tuition reimbursement

Employee stock purchase plan

Western Digital Savings 401(k) Plan

Risks

Seagate's HAMR technology may outperform Western Digital's ePMR in high-capacity HDDs.

Toshiba's HAMR and MAMR technologies intensify competition in the storage market.

Focus on consumer products may neglect enterprise client needs, risking market share.

Differentiation

Western Digital leads in high-capacity HDDs with 32TB UltraSMR and ePMR technology.

The company offers diverse storage solutions, including NAS, SAN, and private cloud.

Western Digital's SanDisk and WD_BLACK brands target creators and gamers effectively.

Upsides

Growing demand for high-capacity storage driven by AI and data-intensive applications.

Recent product launches cater to the expanding gaming and content creation markets.

Advancements in ePMR technology enhance Western Digital's competitive edge in HDDs.

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