Data Scientist

Job Description

Company Profile:Western Digital Corporation is the world s largest data storage company with a leading portfolio of HGST, SanDisk, G-Technology and WD brands covering flash and disk-based solutions. Deployed by the largest and most prominent organizations worldwide, Western Digital solutions are everywhere, touching lives and enabling great value from the data they possess.Innovating at the Boundaries of Technology: Whether in your pocket, home, car, or the cloud, its likely Western Digital is with you every step of the way. Its a responsibility we dont take lightly. Thats why we are always at the cusp of innovation, pushing the boundaries of technology to make what you thought was once impossible, possible.We deliver the possibilities of data. YOU define what s possible. The next big thing in data is you! Shape the future & define whats possible. Come shape the future with us. For more information about us, please visit us at www.wdc.com ESSENTIAL DUTIES AND RESPONSIBILITIES:Reporting to the Internal Audit Data Analytics & Process Automation Manager, assisting in developing the overall Internal Audit Data Analytics & Process Automation 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.Job Description 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 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%.Legal DisclaimerWD is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: WD is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at WD are based on business needs, job requirements and individual qualifications, without regard to race, colour, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, family, parental status, or any other status protected by the laws or regulations in the locations where we operate,

Keyskills :
machine learningpythondata analysissqlanalyticsnatural language processingequal employment opportunitybig datapower bidata miningdata sciencedeep learninginternal auditdata analyticsdata solutions