Data Scientist - New College Graduate null

About Western Digital

They thrive on the power and potential of diversity. As a global company, they believe that the most effective way to embrace the diversity of their customers and communities is to mirror it from within.

Your role

• Collect and extract large sets of structured and unstructured data from various sources such as databases, APIs, and web scraping.
• Clean and preprocess data to remove any inconsistencies, missing values, or errors to ensure the accuracy and reliability of the data.
• Use statistical, machine learning, or deep learning techniques to analyze and model data to identify trends, patterns, and relationships to provide actionable insights.
• Use data visualization tools to create charts, graphs, and dashboards to communicate insights to stakeholders in a clear and concise manner.
• Develop predictive models using machine learning algorithms to forecast trends and future outcomes.
• Deploy models and systems developed, monitor, and maintain them to ensure they are working effectively
• Document their processes and methodologies to ensure that their 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.

Training & development

They give every employee access to skill-building opportunities on the job, training, internal movement, and the opportunity to contribute to leading-edge projects.

• In-person and online learning professional development
• Leadership development programs
• Customized programs and individual development options based on team and individual needs
• Educational reimbursement for qualifying external university degrees or certificate programs (available in some locations)

Benefits

Some of the benefits may include: 

• Health and other benefits
• Medical Policy
• Retirement Policy
• Disability policy
• Life insurance.

Career progression

Western Digital is an exciting place to build your career, grow and develop toward your goals. They know you take your career seriously. Here, you are in charge of your career. Whether you want to sharpen your skills, learn a new one, manage others, or move across the organization, they are full of opportunities it’s up to you to make it happen.

Work-life balance

Western Digital thrives on the power of diversity. They are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution. Their leaders, including managers and supervisors, actively support diversity and inclusion in the workplace. 

Company culture

They wholeheartedly commit to positive corporate citizenship in all aspects of their business. They are Western Digital and they care. It will take great minds to envision the future. And great minds don’t think alike. It’s why they only ask for you to be you. At Western Digital, diversity is what they got here and will power them forward. Diverse ideas come from diverse people. They want you & your authentic self. 

About you

• Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Physics, or Engineering
• Knowledge of the AI/ML lifecycle management and tools including EDA, Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc.
• Familiarity with core techniques in statistical and machine learning e.g. regularized regression, time series analysis, decision trees, boosting algorithms, neural networks, clustering, and collaborative filtering.
• Experience working with structured, semi-structured, and unstructured data sources
• Knowledge in web crawling, natural language processing, and visualization
• Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker), and 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 for visualization.
• The ability to define problems, generate hypotheses, develop and test solutions, and effectively communicate complex technical concepts to non-technical stakeholders is essential for data scientists,
• Ability to collaborate effectively with others to achieve project goals.

How to apply

To apply for this position, click the “Apply on employer site” button on this page.

Source/s:

• Western Digital.com
• youtube.com
• jobstreet.com.ph