6 Data Scientists jobs in Jeddah

Bachelor’s Degree in Computer Science or related field.

Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis.

• Proficiency in Python.
• Information Retrieval.
• Data Mining.
• Natural language Programming.
• Machine Learning
• Python Data Science stack (NLTK, Pandas, Numpy).
• Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques.
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Interested applicants should send their CVs with mentioning “machine learning specialist” in the subject line.

DIVISION: Banking & Technology

RELEVANT EXPERIENCE: 10years + in a similar role, ideally with financial services

PURPOSE OF JOB:

Role of data scientist

TASKS

Core Responsibilities and Accountabilities

a. 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

b. Technical

• 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
• Identify opportunities to innovatively use data/ extract insights from complex data sets

c. Cultural Fit

• Owning the outcome (ownership)
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task

KPIs:

• 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

Knowledge and Experience

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

SKILLS

• 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)

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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As a Lead Data Scientist at Salla, you will take a pivotal role in leading our data science initiatives, shaping data strategy, and driving innovation through advanced analytics and machine learning. You will work closely with cross-functional teams to harness the power of data and deliver impactful insights that guide business decisions.

Your mastery in data science will enable you to develop and implement sophisticated models and algorithms that solve challenging business problems.

• Lead complex data science projects from conception to deployment, focusing on business impact and scalability
• Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices
• Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions
• Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data
• Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics
• Communicate findings, insights, and recommendations to both technical and non-technical audiences
• Ensure code quality and maintainability by promoting best practices in software development
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Master's or PhD in Data Science, Machine Learning, Statistics, or a related quantitative field

• 6+ years of experience in data science, with a proven track record of leading projects and teams
• Extensive experience in building and deploying machine learning models in production environments
• Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop)
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques
• Experience in mentoring and developing team members
• Excellent analytical, problem-solving, and communication skills
• Experience with Natural Language Processing (NLP) and computer vision
• Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions

• Medical Health Insurance
• Performance Bonus
• Others

Salla is an equal opportunities employer and welcomes applications from all qualified candidates.

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