Lead Data Scientist

Job description

Participate in the development of data science strategy and tactics to support strategic objectives to become a data driven company Contribute and propose ways to maximize the value of Geosciences, Operations, HSE, CPD and MP, etc. data Develop innovative data analytics solution with high value adding in terms of business impact Promote data science & analytics to increase business insights to resolve technical issues or support decisions making processes

Interacting with outsourced staff from consulting firms and with data scientist of the vendors involved in the development of the various digital use cases. Leads and develops the data science subject within the business with close interactions with the IS Data & Information group and the various technical departments. Project complexity level: critical analysis of business problems and proposals of data-centric analytical solutions

Participate in the design and implementation of the data science strategy

Participate proactively in the design strategy in terms of technological choices, implementation of platforms & definition of priority subjects.

Identify, evaluate and select good practices and tools concerning data science.

Share her/his know-how in data science (data models, programming, statistics, machine learning, analysis and visualization of structured

and unstructured data, etc.) with technical teams involved in data analytics activities

Identify the needs of the technical departments in terms of analysis and visualization of structured and/or unstructured data through big data

and/or data mining approaches.

Suggest pilots to be carried out in collaboration with technical departments.

Manage data science pilots (big data and / or data mining), MVP or UC in coordination with technical departments.

Support the transition to project/UC mode & support the implementation and deployment at scale of big data and/or data mining solutions.

Monitor big data and data mining methods and technologies

Monitor new methods as well as software and hardware technologies and technological trends.

Participate in the development of partnerships to develop solutions and/or methods.

Promote data science

Document and capitalize on data science solutions implemented as part of pilots, MVPs and UCs.

Identify data science solutions that can be scaled up and promote them.

Share her/his know-how with the technical departments.

Ensure and promote the adoption by the users of the concepts and possibilities provided by data science within the technical departments

Manage relationships with internal and external vendors for data science

Ensure and develop relations with vendors (software/technological vendors and consulting firms) related to data science matters.

Participate in the negotiations of the services and maintenance contracts with data science vendors.

Control and ensure compliance with contractual rules, deadlines and costs.

Supervise external services provided, control results and costs and provide feedbacks/return of experience upon jobs completions.

Use Cases: Communication

Provide feedback in sprint reviews, to the Product Owners (PO), Scrums and DPG Head of Product Owners.

Propose and animate communication related to data science in coordination with data management groups (IS and Technical dpts).

Use Cases: Execution

Supervise and provide guidance for the execution of the data analytics/science scopes of POC, MVP and/or UCs

Coordinate with the Head of Product Owners, PO and scrums in case of any issues & contribute proactively to their resolution.

Be the DPG focal point for data strategy & governance, liaise and coordinate with the consulting firm, IS and the business entities, report progress/issues and propose corrective actions as required in this field to the Head of Product Owners and DPG Manager

Qualifications/Experience:

Engineer with a Master of Science and with more than 10 years' experience with deep knowledge and highly skilled in data analysis. Good knowledge of IT, particularly in software development, data modelling, ETL solutions, etc. Ability to coordinate activities between multiple agile teams and with IT department (Data & Information group) Rigor, method and organization Good listening and communication skills with initiative and anticipation abilities Proficient in English language

Our role in supporting diversity and inclusion
As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.