Data Scientist

Arab National Bank; Jeddah; On-site; SAR 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Scientist to design and develop innovative Machine Learning models across diverse domains. This role focuses on utilizing Deep Learning techniques to tackle complex challenges in Recommendation Engines, Chatbots, and Natural Language Processing. You'll collaborate with cross-functional teams to analyze trends and generate valuable business insights, driving better decision-making. If you are passionate about data science and eager to stay ahead of the latest trends, this opportunity offers a dynamic environment to make a significant impact.

Qualifications

• Strong analytical skills with a passion for machine learning and research.
• Experience in developing and implementing ML models for diverse datasets.

Responsibilities

• Analyze and preprocess raw data for effective modeling.
• Develop and deploy scalable ML solutions for various business challenges.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Data Analysis

Mathematics

Statistics

Data Cleansing

Predictive Modeling

Feature Selection

Optimization

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Tools

Python

R

TensorFlow

Keras

Scikit-learn

Job description

We are looking for a Data Scientist to design and develop Machine Learning (ML) models across various domains to identify patterns in large and diverse datasets. You will primarily utilize Deep Learning techniques, along with other ML methods, to address challenges in Recommendation Engines, Chatbots, Natural Language Processing (NLP), and other areas. Your role involves building data products that generate valuable business insights. The ideal candidate is highly analytical, with strong skills in analysis, mathematics, and statistics, and possesses a passion for machine learning and research. Your goal will be to help our company analyze trends to facilitate better decision-making.

Responsibilities

1. Analyze raw data: assess quality, cleanse, preprocess, and structure data for downstream processing.
2. Conduct research and development: explore and discover data insights using Data Science and ML practices.
3. Develop and implement models: create, test, and deploy Data Science and ML models for datasets from various sources such as online marketplaces, e-commerce platforms, social media, and web sources.
4. Design scalable ML solutions: develop accurate models in domains including Recommendation engines, Chatbots, NLP, text mining, feature selection, optimization, and predictive modeling.
5. Utilize diverse tools and approaches: address complex business challenges using techniques like Recommendation Engines, Chatbots, NLP, Deep Learning, Image and Speech Processing, Rule-Based Learning, and Knowledge Graphs.
6. Innovate service offerings: design new solutions in e-commerce and other fields.
7. Stay current: keep up with the latest trends and technologies in data science and ML.
8. Collaborate with teams: work with Data Engineers on data requests, Data Quality Assurance Officers on data integrity, Business Analysts, and product teams to understand and implement requirements.
9. Work with development teams: partner with big data and software developers to translate models into comprehensive solutions.
10. Identify challenges: collaborate with cross-functional teams to find problems and suggest AI-based solutions.