/_ESSENTIAL DUTIES AND RESPONSIBILITIES:_/ Reporting to the Internal Audit Process Automation & Data Analytics Manager, assisting in developing the overall Internal Audit Process Automation & Data Analytics function, and working with internal teams to gather data and deep dive into complex analytic issues. The successful candidate exhibits a can-do attitude and approaches their work with energy and determination and will be well versed in delivering comprehensive data solutions including algorithm development and data management of complex systems. Day-to-day duties: * Build high-quality analytics systems that identify statistical anomalies and solve business problems using techniques from data mining, statistics, and machine learning * Apply data science techniques including segmentation, affinity/propensity models, user or product deep dives, marketing effectiveness, and project lifetime value. * Create clean, version controlled code to process big data and streaming data from a variety of sources and types * Perform feature engineering, model selection, and hyper-parameter optimization, to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment * Execute analytics projects to provide insights, dashboards/reporting, and recommended business actions * Collaborate with teams to coordinate and align on key data and analytics projects. * Build internal tools for monitoring and investigative purposes. * Improve data acquisition and analytics methodologies to further enhance Internal Audit team capabilities. Required and preferred knowledge and job skills: * Work Experience: 3-5 years of experience in data science or business analytics with proven experience using data mining techniques and building data science models. Experience working in Internal Audit function preferred. * Education: Master’s Degree in Statistics, Computer Science, Mathematics or similar quantitative field * Technologies: Expert in programming languages (SQL, Python, etc.) and data visualization tools (Tableau, Power BI, etc.), and data analytics tools (Alteryx, YODA, etc.) * Techniques: Knowledge of advanced analytical techniques including natural language processing (NLP), text mining/analytics, deep learning or image analysis * Skills: Exceptional data exploration skills with experience providing qualitative and quantitative analysis, ability to deliver actionable insights from complex data * Nature: Strong attention to detail, commitment to data accuracy, natural curiosity regarding human behavior, ability to work independently under minimal supervision * Travel: Ability and willingness to travel domestically in the US and internationally up to 10%. Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity. Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the “Equal Employment Opportunity is the Law” poster.
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