9 Data Scientists jobs in Jeddah

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

• Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
• Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
• Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.
• Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.
• Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.
• Design new service offerings and solutions in E-Commerce and different fields.
• Keep up to date with latest trends and technologies in the data science and ML fields.
• Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
• Work closely with Business Analysts and product development teams to understand and implement their requirements.
• Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
• Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Desired Candidate Profile

• Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
• At least 2 - 4 years' of experience as a data scientist (quantitative analytics and data modeling).
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
• Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
• Experience in Deep Learning algorithms and techniques.
• Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,.etc are preferred).-
• Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).
• Excellent in Algorithms and Object-Oriented programming.
• Familiarity with database technology (design and implementation) and query language.
• Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.
• Strong organizational and project management skills.
• Good problem-solving skills.
• Excellent communication and presentation skills
• Medical Health Insurance
• Performance Bonus
• Others

Company Industry

• Internet
• E-commerce
• Dotcom

Department / Functional Area

• IT Software

Keywords

• Data Scientist

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• Strong communication skills and ability to present findings to client stakeholders
• Experience in Financial Services, Banking & card payments Industry is a plus
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process
  
  
  

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient is other Data Science programming languages (e.g. Python, R)
• Develop, test, implement, and maintain predictive models
• Segmentation, customer lifetime value
• Identify opportunities to innovatively use data/ extract insights from complex data sets
  
  
  

• Owning the outcome (ownership)
• Being driven/passionate in analytics
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task
• Meticulous to detail
• Thrive under pressure
  
  
  

• Time to deployment & value identified/realized/recommended from different use cases.
• Model accuracy (e.g., RMSE, MAE for regression tasks)
• Number of business problems addressed
• Responsiveness to business questions/problems/requests
• Number of departments/business users supported/adopted the solution
• Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.
• Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.
• Data Security Compliance: Compliance with data security protocols and regulations
  
  
  

• 10years + in a similar role, ideally with financial services
  
  
  

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient is other Data Science programming languages (e.g. Python, R)
• Strong communication skills and ability to present findings to senior stakeholders (non technical
  

Term: 12 months

Client Location: Jeddah Head Office, Al-Baghdadiyah Al-Gharbiyah, Jeddah 22233, Saudi Arabia

Division: Banking & Technology

Relevant Experience: 10+ years in a similar role, ideally with financial services

Mandatory Requirements: Python, R, SAS programming language (SAS 9.4)

Role of Data Scientist

• Strong communication skills and ability to present findings to client stakeholders
• Experience in Financial Services, Banking & Card Payments Industry is a plus
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process

• Advanced knowledge of statistical analysis and machine learning
• Highly proficient in SAS programming language (SAS 9.4)
• Proficient in other Data Science programming languages (e.g., Python, R)
• Develop, test, implement, and maintain predictive models
• Segmentation, customer lifetime value analysis
• Identify opportunities to innovatively use data and extract insights from complex data sets

• Owning the outcome (ownership)
• Being driven/passionate about analytics
• Problem-solving mindset, challenging the status quo
• Self-organizing, independent, and takes ownership of each task
• Meticulous attention to detail
• Thrive under pressure

• Time to deployment & value realization from different use cases
• Model accuracy (e.g., RMSE, MAE for regression tasks)
• Number of business problems addressed
• Responsiveness to business questions/problems/requests
• Number of departments/business users supported/adopted the solution
• Stakeholder satisfaction with reports and insights
• Collaboration effectiveness with cross-functional teams
• Data security compliance

• 10+ years in a similar role, ideally with financial services

• Advanced knowledge of statistical analysis and machine learning
• Highly proficient in SAS programming language (SAS 9.4)
• Proficient in other Data Science programming languages (e.g., Python, R)
• Strong communication skills and ability to present findings to senior stakeholders (non-technical)

Job Brief:
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

1. Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
2. Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
3. Develop and implement machine learning algorithms and statistical models to solve complex business problems.
4. Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
5. Work with data engineers to build robust and scalable data pipelines.
6. Evaluate and validate models using appropriate performance metrics and statistical techniques.
7. Present findings and insights to stakeholders in a clear and concise manner.
8. Stay up-to-date with the latest advancements and best practices in data science and machine learning.
9. Mentor and guide more junior data scientists in the team.

Desired Candidate Profile:

1. Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
2. Minimum of 5 years of industry experience as a data scientist.
3. Strong knowledge and experience in machine learning, statistical modeling, and data mining.
4. Proficiency in Python or R for data analysis and modeling.
5. Experience with big data technologies such as Hadoop, Spark, or SQL.
6. Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
7. Strong problem-solving and critical-thinking skills.
8. Excellent communication and presentation skills.
9. Ability to work effectively in cross-functional teams.
10. Strong attention to detail and ability to work on multiple projects simultaneously.

Company Industry:

1. IT - Software Services

Department / Functional Area:

1. IT Software

Keywords:

1. Senior Data Scientist

RELEVANT EXPERIENCE: 3 years+ (with valid Saudi Iqama)

MANDATORY REQUIREMENTS:

• Experience in SAS programming language (SAS 9.4) or other programming languages such as Python or R
• Prior model development experience, including Logistic Regression, Decision Tree, XGBoost, and Random Forest, is a plus

PURPOSE OF JOB

TASKS

Core Responsibilities and Accountabilities

Non-technical

• Strong communication skills and ability to present findings to client stakeholders
• Experience in Financial Services, Banking, & Card Payments Industry is a plus
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process

Technical

• Experience in SAS (SAS 9.4) or other programming languages such as Python/R
• Prior predictive model development experience with Logistic Regression, Decision Tree, XGBoost, Random Forest is a plus
• Extract data from client source systems and perform data quality checks for model development
• Identify opportunities to innovatively use data and extract insights from complex data sets
• Identify credit policy recommendations through analysis of complex data sets

Cultural Fit

• Ownership mentality
• Problem-solving mindset, challenging the status quo
• Self-organizing, independent, and takes ownership of tasks
• Collaborate with MC global teams

KPIs:

• Business outcomes such as cross-sell, credit policy recommendations, credit limit optimization
• Coordinate with client teams for fast and smooth model deployment
• Proactiveness in responding to business needs
• Stakeholder Satisfaction - satisfaction level with models, reports, and insights
• Collaboration Effectiveness - measured via model accuracy, stability, and deployment time
• Data Security Compliance - adherence to data security protocols and regulations

Knowledge & Experience:

• 3+ years in a similar role, ideally within financial services
• Valid Iqama in Saudi Arabia is mandatory
• Good knowledge of data wrangling with SQL, SAS, Python, R
• Proficiency in SAS 9.4, Python, or R
• Prior model development experience with Logistic Regression, Decision Tree, XGBoost, Random Forest is a plus
• Strong communication skills, capable of presenting to senior stakeholders (non-technical)

Disclaimer: Naukrigulf.com is a platform connecting jobseekers and employers. Applicants should verify the legitimacy of prospective employers independently. We do NOT endorse requests for money payments or sharing personal/bank details. For security advice, visit our website. Report any fraud or malpractice to

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

Responsibilities

• Analyze raw data : assessing quality, cleansing, preprocessing, structuring for downstream processing.
• Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
• Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.
• Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection / representation, optimization and predictive modeling.
• Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning / Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.
• Design new service offerings and solutions in E-Commerce and different fields.
• Keep up to date with latest trends and technologies in the data science and ML fields.
• Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
• Work closely with Business Analysts and product development teams to understand and implement their requirements.
• Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
• Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Requirements

Benefits

Job Brief:
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

1. Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
2. Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
3. Develop and implement machine learning algorithms and statistical models to solve complex business problems.
4. Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
5. Work with data engineers to build robust and scalable data pipelines.
6. Evaluate and validate models using appropriate performance metrics and statistical techniques.
7. Present findings and insights to stakeholders in a clear and concise manner.
8. Stay up-to-date with the latest advancements and best practices in data science and machine learning.
9. Mentor and guide more junior data scientists in the team.

Minimum Requirements:

1. Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
2. Minimum of 5 years of industry experience as a data scientist.
3. Strong knowledge and experience in machine learning, statistical modeling, and data mining.
4. Proficiency in Python or R for data analysis and modeling.
5. Experience with big data technologies such as Hadoop, Spark, or SQL.
6. Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
7. Strong problem-solving and critical-thinking skills.
8. Excellent communication and presentation skills.
9. Ability to work effectively in cross-functional teams.
10. Strong attention to detail and ability to work on multiple projects simultaneously.

Job Brief:
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

1. Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
2. Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
3. Develop and implement machine learning algorithms and statistical models to solve complex business problems.
4. Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
5. Work with data engineers to build robust and scalable data pipelines.
6. Evaluate and validate models using appropriate performance metrics and statistical techniques.
7. Present findings and insights to stakeholders in a clear and concise manner.
8. Stay up-to-date with the latest advancements and best practices in data science and machine learning.
9. Mentor and guide more junior data scientists in the team.

Minimum Requirements:

1. Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
2. Minimum of 5 years of industry experience as a data scientist.
3. Strong knowledge and experience in machine learning, statistical modeling, and data mining.
4. Proficiency in Python or R for data analysis and modeling.
5. Experience with big data technologies such as Hadoop, Spark, or SQL.
6. Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
7. Strong problem-solving and critical-thinking skills.
8. Excellent communication and presentation skills.
9. Ability to work effectively in cross-functional teams.
10. Strong attention to detail and ability to work on multiple projects simultaneously.