Data Scientist

LHR Américas; Riyad Al Khabra; On-site; SAR 60,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to join their Global Optimizer Department. This role is pivotal in analyzing large datasets and developing algorithms to enhance decision-making processes. The successful candidate will leverage their expertise in data science to support the company's forecasting and predictive strategies. With a focus on maximizing revenue and capturing market opportunities, this position offers a unique chance to impact the company's digital transformation. If you are passionate about data and eager to drive innovative solutions, this opportunity is perfect for you.

Benefits

Housing Allowance

Healthcare Access

Annual Bonus

22 Days Annual Vacation

Repatriation Allowance

Qualifications

• 7+ years of experience as a Data Scientist with a strong focus on real-world data problems.
• Proficient in programming languages such as Python, Java, and R.
• Experience with data visualization tools to analyze large data sets.

Responsibilities

• Lead analytic studies against large data volumes to derive insights.
• Coordinate research activities and clean data for analysis.
• Develop methodologies for prioritizing projects and analyze root causes.

Skills

Data Science

Python

Java

R

Statistical Analysis

Data Visualization

Education

Bachelor in Operations Research

Bachelor in Industrial Engineering

Bachelor in Applied Mathematics

Master's Degree (preferred)

Tools

Spark

HiveSQL

SparkSQL

Job description

WHO IS OUR CLIENT?

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us 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.

WHAT IS YOUR CHALLENGE?

We are seeking a Data Scientist to join the Global Optimizer Department.

The Global Optimizer Development Department (GOD) 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.

Your primary role 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. Your 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.

REQUIREMENTS

As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.

• You will have a minimum 7 years of professional experience as a data Scientist.
• You will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.).
• You will be able to demonstrate experience applying data science methods to real-world data problems.
• You will also have experience in utilizing visualization tools to take advantage of the growing volume of available information.

RESPONSABILITIES

• Formulate and lead multi-faceted analytic studies against large volumes of data.
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Lead all data experiments tasked by the Data Science Team.
• Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
• Develop methodology and processes for prioritization and scheduling of projects.
• Analyze problems and determines root causes.
• Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.

REWARDS & BENEFITS OVERVIEW

Our client offers excellent compensation and industry-leading benefits and other programs designed to meet the diverse needs of their employees and their families.

Salary - commensurate with experience and individual qualifications.

Salary packages can include expatriate premiums & supplemental benefits plans

Annual bonus

Housing: housing allowance

Healthcare: Access to top-notch healthcare is an important part of working as an expatriate for our client.

Dependent Education: High School allowance

Annual vacation: 22 days of vacation leave per year. In addition to annual vacations days, employees also receive 11 paid company holidays each year.

Repatriation allowance: Annually round trip to your home country.

THE STAGES OF THIS PROCESS ARE:

1. Resume Evaluation: A member of our recruitment team will evaluate that your resume matches the client's job description requirement.

Use the job description requirements to highlight your relevant experience and skills.

Be specific and describe the significance of your work, keyword alignment is important. Emphasize the impact of the work you've contributed to HR areas and tasks. Use your professional profile/resume to focus on major accomplishments and qualifications that match the job.

If your resume evaluation is suitable for this position, the recruitment team will invite you to a preliminary phone/video interview in 2-3 days.

If your resume evaluation is not suitable, you will be receiving an e-mail notification in 2-3 days.

2. Interviews stage

2.1 LHR Americas preliminary phone/video interview: A member of the Talent Acquisition team from LHR Americas will first schedule a call with you to discuss the details of the position, your interests, and qualifications. Furthermore, your English level will be evaluated at this stage, ONLY native or advanced speakers will approve this evaluation.

If this preliminary phone/video interview 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.

2.2 Client phone/video interview: This interview will happen only if your resume is approved by our client, we cannot guarantee the time our Client will take to approve your resume, but it should take less than a week.

If your resume is approved a member of the Talent Acquisition Team from our client will schedule a call with you to evaluate your qualifications.

The client interview contains technical questions that help assess your familiarity with problem-solving in your given field and may include a behavioral evaluation. Be prepared to explain how you approach problems and produce solutions.

If your phone interview is successful, the hiring team will further evaluate your resume, and they will invite you to a video interview when hiring managers are available.

If your resume is not approved, LHR Americas will inform you.

2.3 Video interviews with hiring managers: which may also contain technical questions that help us assess your familiarity with problem-solving in your given field.

3. 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.

4. Relocation process

After your offer is accepted and all conditions for employment are met, you will be assigned a relocation advisor from LHR Americas. This advisor is your go-to resource for the transition, providing helpful advice on everything from when to give notice to your current employer to visa services.