Data Scientist - Digital & AI Projects (Saudi Arabia)

Eram Talent; Dhahran Compound; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading recruitment firm is seeking a talented Data Scientist specializing in Digital & AI Projects in Saudi Arabia. The candidate will be responsible for developing advanced analytical models and AI frameworks to enhance operational excellence. This requires a minimum of 8 years of experience in data science, along with expertise in machine learning and statistical analysis. The role will be onsite in Dhahran Compound and involves collaboration with cross-functional teams to deliver actionable insights.

Qualifications

• Minimum of 8+ years of work experience.
• Experience with selecting appropriate machine learning algorithms and building predictive models.
• Knowledge of plant automation systems and associated interfaces is desirable.

Responsibilities

• Identify potential advanced analytics use cases.
• Select appropriate Machine Learning algorithms for tasks.
• Build and deploy predictive models to address business needs.
• Collaborate with cross-functional teams for AI integration.

Skills

Expertise in Statistics

Machine Learning

Time Series

Deep Learning

Natural Language Processing (NLP)

Foundation Models

Python

API

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field

Job description

Eram Talent is on the lookout for a talented Data Scientist specializing in Digital & AI Projects to join our client's team in Saudi Arabia. This role is perfect for an innovative thinker who is eager to harness data analytics and artificial intelligence to drive impactful business solutions. As part of our rapidly growing team, you will be pivotal in developing advanced analytical models and AI frameworks that directly contribute to enhancing efficiency and operational excellence.

If selected, the work location would be onsite at Saudi Arabia.

Responsibilities

• Originates and carries out studies to identify potential advanced analytics use cases and applications to existing problems resolve complex technical problems, increase revenue, optimize processes, protect the environment, or improve safety using their advanced analytics / data science background.
• Examines the business problem and identifies the required learning task (i.e. classification, clustering, regression, forecasting … etc.)
• Selects appropriate Machine Learning algorithms suited for the selected learning task and condition / structure of the data. This includes but not limited to Decision Trees / Forest, Support Vector Machines, kNN, Neural Network and Deep learning.
• Builds and deploys predictive models using algorithms such as linear / logistic / dynamic regression to address the business needs.
• This position requires not only technical expertise but also the ability to translate complex findings into understandable recommendations for stakeholders.
• The position include collaborating with cross-functional teams to identify opportunities for AI integration, creating predictive models, and delivering actionable insights that guide strategic decisions.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field with a minimum of 8+ years of work experience.
• Expertise in Statistics, Machine Learning, Time Series, Deep Learning, NLP, Foundation Models
• Knowledge of Python, API & other machine learning frameworks is a must.
• Experience with selecting appropriate machine learning algorithms, building predictive and forecasting models, and solution deployment and maintenance is desirable.
• Experience with deployment of advanced analytics solutions based on machine learning techniques in upstream and downstream processes will be an asset.
• Knowledge of plant automation systems, standard real time interfaces such as OPC and process historians such as PI is desirable.
• Experience with identification of new advanced analytics use cases, business value quantification and working with multi-disciplinary teams on delivering analytics solutions will be an asset.
• Awareness of Digital Transformation area and experience with delivering Digitalization initiatives will be an asset.