Data Scientist

Dicetek LLC

Dubai

On-site

AED 300,000 - 600,000

Full time

2 hours ago
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Job summary

Dicetek LLC in Dubai seeks a seasoned Data Scientist to design, develop, and deploy ML models and analytics solutions using Python, Dataiku, and Azure Databricks. The role focuses on turning data into actionable insights and operationalizing AI to deliver measurable business value.

You will work on regression, classification, forecasting, NLP, and generative AI projects, with production practices including MLflow, model serving, and MLOps.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
  • 5+ years of hands-on experience in Data Science, Machine Learning, Predictive Analytics, and AI solution development.

Responsibilities

  • Design, develop, and deploy machine learning models and analytics solutions using Python, Dataiku, and Azure Databricks.
  • Operationalize AI solutions and deliver measurable business value through scalable and production-ready data science solutions.
  • Transform data into actionable insights to inform business decisions and strategy.
  • Develop and deploy regression, classification, clustering, forecasting, recommendation, and segmentation models; apply NLP and Generative AI as needed.

Skills

Python
Dataiku
Azure Databricks
PySpark
MLflow
SQL
ML
NLP
Generative AI
MLOps
CI/CD
Model Serving
Model Governance

Education

Bachelor's degree (CS/IS/DS/Statistics/Math/Engineering)
Master's degree preferred

Tools

Dataiku
Azure Databricks
PySpark

Job description

As a Data Scientist within the Data & Artificial Intelligence division, you will design, develop, and deploy machine learning models and advanced analytics solutions using Python, Dataiku, and Azure Databricks. The role focuses on transforming data into actionable insights, operationalizing AI solutions, and delivering measurable business value through scalable and production-ready data science solution.

Qualifications & Experience
Minimum Qualification
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
  • 5+ years of hands-on experience in Data Science, Machine Learning, Predictive Analytics, and AI solution development.
Experience
  • Strong programming expertise in Python, including Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, and PyTorch.
  • Hands-on production experience with Dataiku for data preparation, feature engineering, model development, deployment, automation, and monitoring.
  • Experience with Azure Databricks, PySpark, MLflow, and large-scale distributed data processing.
  • Strong SQL skills with experience working on large-scale structured and unstructured datasets.
  • Deep understanding of Machine Learning, Statistical Modeling, Predictive Analytics, Data Mining, Feature Engineering, Model Validation, Hyperparameter Optimization, and Model Explainability.
  • Experience developing and deploying Regression, Classification, Clustering, Forecasting, Recommendation, Customer Segmentation, Risk, and Fraud Detection models.
  • Hands-on experience in NLP, Text Analytics, Sentiment Analysis, Generative AI.
  • Proven experience in deploying and managing machine learning models in production using MLflow, Databricks Model Serving, Azure ML.
  • Experience with MLOps practices, including CI/CD pipelines, model versioning, experiment tracking, model registry, automated retraining, model monitoring, drift detection, performance optimization, and Model governance.
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