Junior Data Scientist / USA

Jobs responsible for development & delivery of analytic solutions in an agile fashion to the business in order to provide insights & improvement to business processes. 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.

Accountabilities

Accountable for preparing a Work Scope for a Data Science Service

Accountable for executing the Data Science Work Scope

Accountable for initiating Final Review of the Data Science Service/Work

Accountable for the Closeout, Quality Review and Customer Satisfaction Survey

Requirements

Bachelor or master degree in statistics, mathematics, theoretical science, operational research or computer science

MBA/ PHD in relevant domain is strongly preferred

Knowledge of concept selection process for deepwater projects

Experience in data science delivery in a corporate environment is desirable

Must have strong technical skills to develop 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 interpersonal, communication, facilitation and presentation skills

Job Experience Requirements

Candidates for the position should have experience in applying analytical methods to real data. That can also be by having done projects during their studies.

Position requires business knowledge of:

Hands-on code development (R, Python, MatLab, SAS).

Use of advanced analytics technology in the context of application deployment

Knowledge of data source extraction (ETL) is desirable (HANA, SQL, Oracle, SharePoint, Hadoop, Spark)