Data Scientist

Vgreentek; Dubai; Hybrid; AED 200,000 - 300,000; Full time

Job summary

A leading technology solutions company is seeking a Data Scientist for a remote role transitioning to on-site in Dubai. This position demands a strong background in data cleaning, machine learning, and cloud computing, with responsibilities covering a range of advanced data science techniques. The ideal candidate will possess a relevant degree and a proven track record in data analysis, machine learning, and deployment on cloud platforms.

Qualifications

• Proven experience in data cleaning, preprocessing, and analysis.
• Strong proficiency in ML algorithms including Random Forest and XGBoost.
• Experience with time series forecasting and predictive analytics.

Responsibilities

• Perform data cleaning, transformation, and preprocessing for analysis.
• Develop and implement machine learning models using various algorithms.
• Deploy models on cloud platforms like Azure or AWS.

Skills

Data Cleaning

Machine Learning Algorithms

Time Series Forecasting

Python Programming

Artificial Intelligence

Cloud Computing

Database Management

Data Visualization

MLOps

Education

Bachelor's or master's in Data Science, Computer Science, Statistics, or related fields

Tools

Power BI

Tableau

Azure

AWS

SQL

NoSQL

Amazon Redshift

Job description

Join to apply for the Data Scientist role at VGreen Technology Solutions (VGreenTEK) .

Initial 6 Months : 100% Remote with a package of 1.25 LPM. Afterward, onsite in Dubai – details to be discussed directly with the client.

Required Experience : 5 to 6+ years.

Key Responsibilities :

• Data Cleaning and Preprocessing : Perform data cleaning, transformation, and preprocessing to ensure high-quality datasets for analysis and modelling.
• Machine Learning Algorithms : Develop and implement machine learning models using algorithms such as Random Forest, XGBoost, etc., to solve complex problems.
• Forecasting : Utilize statistical and machine learning techniques for time series forecasting and predictive analytics.
• Python Programming : Use Python packages like scikit-learn, pandas, etc., for data analysis, modelling, and visualization.
• Artificial Intelligence : Apply AI techniques in computer vision, NLP, and generative AI using models like transformers and BERT, including prompt engineering and RAG applications.
• Cloud Computing : Deploy and manage 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.
• Model Development and Deployment : Develop, test, and deploy scalable ML and AI models, ensuring performance and creating REST APIs with SOAP, Flask, Swagger, and Postman.
• Data Visualization : Create visualizations and dashboards using Power BI or Tableau.
• MLOps : Design and implement CI / CD pipelines and monitor models for continuous deployment and updates.
• Research and Innovation : Stay updated with latest research in data science, AI, and ML to improve solutions.
• Certifications : Maintain relevant certifications to demonstrate expertise and ongoing professional development.

Qualifications :

• Bachelor's or master's in Data Science, Computer Science, Statistics, or related fields.
• Proven experience in data cleaning, preprocessing, and analysis.
• Strong proficiency in ML algorithms, including Random Forest and XGBoost.
• Experience with time series forecasting and predictive analytics.
• Proficiency in Python and relevant libraries.
• Knowledge of AI techniques in computer vision, NLP, and generative AI.
• Experience with prompt engineering, RAG, and cloud platforms like Azure or AWS.
• Familiarity with SQL, NoSQL, Amazon Redshift, and vector stores.
• Ability to develop and deploy ML / AI models and REST APIs.
• Proficiency in data visualization tools like Power BI or Tableau.
• Experience with MLOps, CI / CD pipelines, and model monitoring.
• Strong research skills and industry awareness.
• Relevant certifications in data science, ML, or cloud computing.
• Seniority Level : Mid-Senior level
• Employment Type : Contract
• Job Function : Information Technology
• Industries : IT Services and IT Consulting

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