Downstream Data Scientist

*At this time, we are only receiving applications from candidates who are currently situated in the Americas, thank you.
The Company Where Energy Is Opportunity The Saudi Arabia's largest producer of hydrocarbons (oil and gas) will be in Houston conducting face-to-face interviews for expatriate opportunities based in Saudi Arabia.
You will have a unique opportunity of being part of a multicultural energy company, getting involved with leading technologies and being engaged in the development of the production, shipping, and marketing of new low-carbon fuels.
Your family will enjoy a multicultural life in the Kingdom of Saudi Arabia, a country that today is full of opportunities.

Our Client Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, our client combines market discipline with a generations' spanning view of the future, born of nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven then to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

Why apply with us? Apply with LHR Americas, the company chosen since 2007 by our client to support its attraction processes in Latin America. Apply to one of the vacancies we have posted, we will accompany you during the entire process. Working closely with our client's attraction team in Houston makes all the difference. Where will you work?
Our client has a unique position in the energy industry worldwide, being the largest hydrocarbons producer with the least carbon intensity. With their considerable investment in technology and infrastructure, they strive to maximize the value of the energy they produce for the world, as well as their commitment to increase their contribution to society. Based in Saudi Arabia, and with offices worldwide, they combine the market´s discipline with a vision of the future, product of their experience of nine decades as responsible managers of the Kingdom´s vast hydrocarbon resources.
This has brought them to contribute with huge social and economic benefits not only to the Kingdom, but also to several communities and countries that depend on the vital and trustworthy energy they provide. Our client is one of the most profitable companies in the world and is amongst the first five global companies by capitalization in the stock market.

Who are we looking for?
The Sales & Operations Planning Division's (S&OP) charter is to optimize crude allocation and the operations of global manufacturing facilities in order to maximize revenue, increase profitability, and capture international market opportunities. 
The division also acts as the linear programming (LP) gatekeeper for wholly owned refineries and the integrated global MPIMS model, which is used for optimizing global crude allocation and exploration of new international markets and integration options. Data scientist is to analyze and structure large amounts of raw live and historical data, build algorithms and solutions around the data to drive decision making within the company. 
This role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center. In this role, the data scientist should be highly analytical, with strong skills in analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. The position requires in-depth knowledge of research, machine – learning, artificial intelligence and complex algorithmic development. 
The data scientists will work as part of the Technical Support team of the Downstream Digital Center under Fuels. They will be working on developing solutions and algorithms for the whole downstream business. The solutions will have cross downstream entities scope and will be relying on a database consolidating all downstream entities live and historical data. The solutions developed will have a high impact, as they will drive collaboration and decision making, for day-to-day operations as well as long-term business development. The Downstream Digital Center Technical Support team will be interacting with all the downstream entities to collect their solution request. The Technical Support team will also be interacting and leveraging the other SAO IT and technical entities for support in developing the solutions.
Key Responsibilities Formulates and leads guided, multifaceted analytic studies against large volumes of data. Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method. Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Leads all data experiments tasked by the Data Science Team. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Develops methodology and processes for prioritization and scheduling of projects. Analyzes problems and determines root causes. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Qualifications / Skills: Advanced analytical knowledge of data. Conducting big data analysis. Data conditioning. Programming advanced computing. Developing algorithms. Developing software and data models. Executing predictive analytics. Minimum Requirements Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. 5-7 years of professional experience. Proficient with one or more programming languages (Java, C++, Python, R, etc.). Demonstrated experience applying data science methods to real-world data problems. Experience utilizing visualization tools to take advantage of the growing volume of available information. Learn about the most important aspects of the company's culture ?? To them, their main and most valuable resource, is their people ; which is why they prioritize a work and family life balance, letting them do the work they always dreamed of, generating a positive impact which translates into quality time with their families.
?? They invest a lot in their human talent development , giving them opportunities to face professional, technical and industry challenges so their employees may reach their maximum potential and are paid accordingly, encouraging them at all levels, to improve their knowledge and specific skills for the industry with their development program, one of the biggest worldwide.
These are the steps to apply for this job 1. Resume Evaluation: A member of our recruitment team will evaluate that your resume matches the client's job description requirement. If your resume evaluation is not suitable, you will be receiving an e-mail notification in 2-3 days.
2. Interviews Stage: If your resume matches the client´s Job description requirements a member of the Talent Acquisition team from LHR Americas may schedule a call to verify your English level or professional experience. ONLY native or advanced speakers will approve this evaluation.
If this process is successful, your resume will be submitted to our client.
If your preliminary phone/video interview is not successful, our Talent Acquisition consultant will inform you.
3. Client Interview: This interview will happen only if your resume is approved by our client.
If your interview is successful, the hiring team will further evaluate your resume, decide, and then receive a conditional job offer.
If your phone/virtual interview is not approved, LHR Americas will inform you.
4. Conditional Offer: A successful interview may result in a conditional offer of employment.
Conditions for employment include but are not limited to medical examinations, and permission to secure a visa to work and reside in-country.
? Throughout all these stages, we will be with you through every stage of the hiring process