Senior Data Scientist - (B5)

Key Skills

HTML, JavaScript, Java Programming, SAP, Python Programming, SQL, XML-JSON, Big Data Technology, Apache Hadoop, Data science techniques, Data Mining, Tableau, Apache Hive, Apache Impala, Splunk, PowerShell Programming, HTTP acceleration, Data structuring

Job Description

Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

The Legal & Compliance Organization has an exciting position for a Senior Data Scientist to join a multi-disciplinary group that works collaboratively within Legal and jointly with the Information Security, Business Unit, and Corporate Services teams to conduct a wide range of business intelligence and investigation support functions.

This role will be located in either Santa Clara, CA or Austin, TX. Part-time remote work is possible for the ideal candidate. This critical role works closely with each pillar within the Legal Department to create metrics, visualize critical trends, and identify high risk areas.

This is the opportunity to work with a newly formed team that is responsible for designing, creating, and maintaining regular, ad-hoc and automated reports and dashboards to support strategic initiatives, policy development, monitoring & enforcement and investigations.

This position requires strong analytic capabilities, technical prowess, communication skills, creativity, and leadership. 

Major Areas of Responsibility

Responsibilities for this position include data retrieval, formatting, analysis, summarization, and visualization. This position will also be responsible for developing and maintaining department SharePoint sites and dashboards supporting the different teams and strategic initiatives. IT experience will be required to access and support disparate IT systems and assist legal personnel on a variety of technical issues.

This role requires the ability to design & develop programs, methods, processes, and systems to consolidate and analyze diverse data sources. Processes and programs will be used to cleanse, integrate, and evaluate datasets from multiple disparate sources. The resulting analytics and visualizations will be used by executive-level decision makers to gain actionable insights.

Specific Responsibilities

• Data wrangling, including data discovery, data mining, data structuring, cleaning, enriching, and validating
• Design, develop, and maintain metrics, reports, analyses, and dashboards that will be used to drive key business decisions, strategy, policy, and investigations
• Data exploration to identify statistical relationships, trends, patterns, and anomalies
• Organize and transform data into comprehensible, usable, and actionable information
• Elicit reporting and analysis requirements from the legal team and deliver solutions
• Ensure the accuracy, timeliness and confidentiality of data sources and derived information
• Educate & train the users on the supported sites, dashboards, and reports
• Utilize Tableau to create topical dashboards for high-level decision makers
• Build solutions by partnering with key stakeholders, including the IT, Information Security, Big Data and Enterprise Process Solutions teams

Qualifications

• Master’s degree in Data Science, Computer Science, Mathematics, or other technology-related field from an accredited university
• Experience with Tableau and Tableau Prep
• SharePoint or Web development experience
• Project management experience
• Professional use of SQL, Hadoop, Hue, Hive, Impala and SAP ERP
• Experience with Splunk, Exabeam, OneTrust, or SailPoint IQ
• Basic programming skills in one of the following: Python, PowerShell, Visual Basic
• Strong attention to detail, passion for data accuracy, and high personal integrity
• Ability to perform statistical analysis of data
• Working knowledge of web development tools – e.g., XML, HTTP, Java, JavaScript, and HTML
• Excellent communication skills. Ability to clearly articulate and visually present complex information and analysis results. 
• Capable of writing concise reports targeted for the audience in terms that they will understand using a variety of graphical, easy-to-understand representations
• Ability to work both independently and collaboratively in a team