Title:  Financial Business Analyst/Data Scientist

Overview

We are seeking a seasoned Financial Business Analyst/Data Scientist to join Technology Oversight & Coordination Planning and Performance Management (TO&C P&PMD). Reporting directly to the Senior Vice President of TO&C, TO&C P&PMD is the flagship shared services center of TO&C; providing centralized business planning, financial performance consolidation and reporting, data analysis, and procurement services to enable the R&D arm of Saudi Aramco.

In its capacity for providing data analysis, TO&C P&PMD is responsible for providing digital solutions that enable advanced oversight and reporting on the performance of the Company’s Global R&D Network, identifying and leading performance improvement initiatives, reporting on Technology Development progress, and for the preparation of various accountability reports and presentations to Executive Management, to support showcasing of the Companies R&D activities and the creation of value. Through the creation of Ai-Powered data solutions, TOC P&PMD leverages the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain.

In joining TO&C P&PMD, the successful candidate is anticipated to be dynamic, goal orientated, innovative, and to have a track-record of working within tight deadlines. The successful candidate will be anticipated to be embedded within the centralized Performance Management function, and to lead the development and creation of a world-class business analytics function by working closely with business functions, stakeholders, functional teams. The candidate is anticipated to give consultations on AI use case, identify potential value from data, formulate AI and data science ideas and conceptualize them. In addition, to building, evaluating and productionalizing models as appropriate.

Key Responsibilities

You will be required to perform the following:

Lead the building of a world-class digital maturity level across TOC (inclusive of processes, platforms, products and people)
Provide supervision, coordination and/or facilitation in the execution of regular and special tasks, as well as providing mentorship on data analytic practices, model building, data modelling, and data reporting.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
Assess the effectiveness and accuracy of data sources and data gathering techniques.
Develop a TO&C data library / metadata repository including best practice for development of data transformation specifications;
Create and maintain optimal data sets and architecture for TO&C;
Mine and analyze data from data sources to drive optimization and improvement of product development, and business strategies.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize production facilities, revenue generation, and other targeted outcomes.
Develop A/B testing mechanisms and test model quality and validate hypothesis accordingly.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop necessary documentation as per established standards.
Optimize the performance of TO&C data platforms and services to ensure that they can handle large volumes of data and support real-time processing and analysis.
Build out TO&C data quality checks and develop processes for identifying and resolving data quality issues.
Design and build new, cutting-edge Data driving P&PM Products/digital solutions including but not limited to process solutions, performance dashboards, process visualizations.
Build data analytics tools that utilize datasets to transform data into actionable insights that enable operational efficiency and performance improvements of key business performance metrics.

Minimum Requirements

• A Bachelor’s degree in Data Science, Computer Science, Management of Information System, or Information Management, Computer Vision, Applied Mathematics or a related field from a recognized and approved program. A Masters or PhD degree is preferred.
• Minimum 15 years of experience with hands-on experience in data science, NLP, computer vision, and/or machine learning projects/products in industry.
• You must also be able to bring ideas from conceptualization to productionalization (putting models in production) using the right tools (e.g. mlflow, kubeflow, tensorlight, etc).
• Have a very strong expertise in data collection, cleaning, preprocessing, and wrangling.
• You must be fluent in either Java, C++, R, Python, etc, and familiarity with golang is a plus.
• Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audience is a requirement.
• You must be experienced in Information Retrieval (Content Recommendation, Search Metrics, search Query, document classification, entity recognition, topic modelling, etc).
• Proficiency in transfer learning and in fine tuning open-sourced models
• Experience of working within Technology Development/R&D organization and/or digital industry is preferred.
• Demonstrated track record of successful ability to execute large and complex engagements, and to create and present reports and presentations to Executive Management.
• Have an excellent command of oral and written English.

Certifications :

A Bachelor’s degree in Data Science, Computer Science, Management of Information System, or Information Management, Computer Vision, Applied Mathematics or a related field from a recognized and approved program. A Masters or PhD degree is preferred.