Data Scientist

**Job title**: Data Scientist

**Responsible to**: Xodus Internal Data Scientist (functional), Digitalisation Manager (Client / Project)

**Employment**: Contract

**Duration**: Fixed term, 2 years (option for permanent position at the end)

**Location**: Doha, Qatar

**Division**: Digital & Data

**Requirements**:
Overall Purpose of the Role
As a member of the growing Xodus Digital team and the in-country Qatar team supporting one of our major client’s digital transformation roadmap, you will work within the Digital Program Group to deliver our customer’s roadmap of use cases. The role is a secondment into the operator of a large oil and gas field with the option for a permanent position with Xodus in any of the agreed Xodus office locations at the end of the secondment. The role will lead and develop data science within the Digital Program Group of our client with close interactions with the Information Systems Data & Information group and the various technical departments.
- Oil & Gas experience and knowledge
- Experience of data exploration and uncovering data requirements (as opposed to waiting for data to be provided)
- Experience of guiding vendors to implement digital solutions
- Experience of training models after “go live” and pushing operational insights back into live systems
- Coding expertise, preferably in Python

Key Responsibilities
Primary Duties
- To participate in the development of data science strategy and tactics to support our client’s strategic objectives to become a data driven company
- To promote data science & analytics to increase business insights to resolve technical issues or support decisions making processes
- To contribute and propose ways to maximize the value of Geosciences, Operations, HSE, etc. data
- To manage relationships with internal and external vendors for data science

Key activities
Envisioning and Conceptualisation
- Support use case framing providing input regarding our client’s readiness in terms of data and best modelling methodology
- Identify, evaluate and select good practices and tools concerning data science
- Create technical specifications of the models and requirements for integration for the technical scope of work
- Understand company data sources and performs queries to translates business requirements into data driven solutions
- Conduct complex quantitative analysis and modelling independently and efficiently
- Translate the output of analysis into practical recommendations
- Facilitate market scouting and vendor selection during call-for-tender, evaluating bidders' technical capabilities
- Develop process and procedures around data science in the Digital Program Group
- Ensure and develop relations with vendors (software/technological vendors and consulting firms) related to data science matters
- Supervise external services provided, control results and costs and provide feedbacks/return of experience upon jobs completions
- Participate in the negotiations of the services and maintenance contracts with data science vendors
- Control and ensure compliance with contractual rules, deadlines and costs

Development
- Develop algorithms and data driven analytical solutions to enable in-house use case building
- Document and capitalize on data science solutions implemented as part of pilots, MVPs and use cases
- 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
- Support user acceptance testing of the models delivered by the vendors
- Explain sophisticated data science concepts in an understandable manner

Roll out
- Ensure and promote the adoption by the users of the concepts and possibilities provided by data science within the technical departments
- Support the transition to project/use case mode & support the implementation and deployment at scale of big data and/or data mining solutions

Enhancements
- Support the required re-training and enhancement of the models
- Develop algorithms and data driven analytical solutions to enable in-house enhancements development
- 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

Professional Qualifications & Experience
- Master of Science degree preferred. Specialization data science or in engineering
- More than 10 years’ experience with deep knowledge and highly skilled in data analysis, software development, data modelling, ETL solutions, etc.
- Strong interpersonal communication, team spirit behaviour, and proven ability to work cross-functionally. Ability to coordinate activities between multiple agile teams and with IT department (Data & Information group)
- Fluent in English as a business language

**Benefits**:
Our Commitment to Diversity & Inclusion
Xodus is committed to promoting a diverse and inclusive culture whereby everyone has a st