the rolepurpose accountabilities the senior data scientist is part of the subsurface and wells ssw data science team within the data science coe the senior data scientist responsible for initiation development delivery of data science solutions in an agile fashion to the business in order to provide insights improvement to business processes or support the creation of innovative business models data scientists use data and their analytical ability to find and interpret rich data sources manage large amounts of data merge data sources ensure consistency of datasets create visualizations to aid in understanding data build mathematical models using the data and present and communicate the data insightsfindings and produce and present results with dashboards the senior data scientist is also expected to lead projects and coach junior members of the team skills requirements accountable for preparing and identifying requirements for a data science service accountable for preparing a work scope for a data science service accountable for executing the data science work scope accountable for final review of the data science servicework accountable for the closeout quality review and customer satisfaction survey within the defined scope of the analytics discipline accountable for defining objectives and strategies for information and data exploitation through analytics accountable for defining and maintaining policies and standards for information and data analytics accountable for developing roles responsibilities and competencies for information and data analytics accountable for development and execution of enterprise improvement plan for information and data analytics the data scientist will report into the manager data scientists as member of the ssw data science team in some projects the senior data scientist will work with a junior colleague doing parts of the actual work works in a lean developmentagile environment which requires the individual to be selfdriven take decisions independently and be flexible in order to cater to demand special challenges building constructive and trusting relationships with mostly remote business stakeholders dealing with challenges in data acquisition from other parts of the business bachelor or masters degree in statistics mathematics theoretical science operational research or computer science mba phd in relevant domain is strongly preferred significant experience in data science delivery in a corporate environment must have strong technical skills and direct handson experience of developing advanced analytics algorithmsmodels skilled in analytics skilled in data design integrity skilled in value exploitation awareness of lifecycle and data management is desirable awareness of information and data strategy and governance is desirable commercial skills are an advantage have strong interpersonal communication facilitation and presentation skills is experienced in communicating with business at all levels additional information candidates for the position should have experience in the delivery of analytics solutions within business or industry position requires business knowledge of handson code development r python matlab sas use of advanced analytics technology in the context of