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Urgent! Data Science Expert Position in Dubai - beBeeDataScientist

Data Science Expert



Job description

Job Title: Data Scientist

Job Overview

  • This is a challenging role for an experienced data scientist who can utilize machine learning algorithms to drive business growth.

As a data scientist, you will be responsible for performing data analysis, developing predictive models, and implementing data visualization tools to communicate insights to stakeholders.

Key Responsibilities

  • Data Cleaning and Preprocessing: Clean, transform, and preprocess datasets to ensure high-quality data for analysis and modeling.

  • Machine Learning Algorithms: Develop and implement machine learning models using algorithms such as Random Forest, XGBoost, and others to solve complex problems.

  • Forecasting: Utilize statistical and machine learning techniques for time series forecasting and predictive analytics.

  • Python Programming: Leverage Python packages such as scikit-learn, pandas, and others for data analysis, modeling, and visualization.

  • Artificial Intelligence: Apply AI techniques in computer vision, natural language processing (NLP), and generative AI using models like transformers and BERT.

  • Cloud Computing: Deploy and manage machine learning and AI models on cloud platforms such as Azure or AWS, utilizing cognitive services.

  • Database Management: Work with SQL and NoSQL databases, including Amazon Redshift and vector stores/DBs, to store, retrieve, and manage data efficiently.

  • Model Development and Deployment: Develop, test, and deploy machine learning and AI models, ensuring scalability and performance.

    Implement REST APIs using SOAP, Flask, Swagger, and Postman.

  • Data Visualization: Create insightful visualizations and dashboards using tools like Power BI or Tableau.

  • MLOps: Design and implement MLOps pipelines for continuous integration, continuous deployment (CI/CD), and monitoring of machine learning models.

Requirements

  • Bachelor's or Master's Degree: In data science, computer science, statistics, or a related field.

  • Experience: Proven experience in data cleaning, preprocessing, and analysis.

  • Skills: Strong proficiency in machine learning algorithms, including Random Forest and XGBoost.

    Experience with time series forecasting and predictive analytics.

  • Tools: Proficient in Python and relevant libraries (scikit-learn, pandas, etc.).

    Knowledge of AI techniques in computer vision, NLP, and generative AI (transformers, BERT).

    Experience with cloud platforms (Azure, AWS) and cognitive services.

  • Certifications: Relevant certifications in data science, machine learning, or cloud computing.


Required Skill Profession

Other General



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