Senior Data Scientist / USA

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 insights/findings and produce and present results with dashboards. The Senior Data Scientist is also expected to lead projects and coach junior members of the team.

Responsibilities:

• 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
• Service/Work
• 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 development/Agile environment which
• requires the individual to be self-driven, take decisions independently and be flexible in order to cater to demand
• Building constructive and trusting relationships with mostly remote business stakeholders
• Dealing with challenges in data acquisition from other parts of the business

Requirements:

• 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, hands-on experience of developing advanced analytics algorithms/models.
• 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.
• Hands-on code development (R, Python, MatLab, SAS).
• Use of advanced analytics technology in the context of application deployment
• Expertise in data source extraction (ETL) is also strongly preferable (HANA, SQL, Oracle, SharePoint,
• Hadoop, Spark)
• Has and understanding of the Upstream business - preferably from working with or in that business.