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Data Scientist

Salla

Jeddah

On-site

SAR 40,000 - 80,000

Full time

10 days ago

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Job summary

An innovative e-commerce company is seeking a Data Scientist to design and develop cutting-edge machine learning models. In this role, you will leverage deep learning techniques to extract insights from vast datasets across various domains, including recommendation engines and natural language processing. Your analytical skills will be crucial in interpreting data and driving business decisions. Join a dynamic team that values creativity and critical thinking, and contribute to pioneering projects that shape the future of online commerce. This is a fantastic opportunity to grow your career in a fast-paced and supportive environment.

Benefits

Medical Health Insurance
Performance Bonus

Qualifications

  • 2-4 years of experience as a data scientist with quantitative analytics.
  • Deep understanding of predictive modeling and machine learning techniques.

Responsibilities

  • Analyze raw data for quality and preprocessing for downstream processing.
  • Develop and implement ML models for diverse datasets and applications.

Skills

Machine Learning
Deep Learning
Python
Statistical Analysis
Problem Solving
Critical Thinking

Education

Bachelor's in Computer Science
Graduate degree in Data Science

Tools

TensorFlow
Keras
Pandas
Scikit-learn
Hadoop
Spark

Job description

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.

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.

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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