Data Scientist

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
7-9 years
Dubai, United Arab Emirates
work from office

Posted: 1 week ago
|
Applicants: 149+
Job Description
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Job Description


Job Title - Data Scientist
Job Location - Dubai
:
Job Summary:
  • We are looking for a highly skilled Data Scientist with 7+ years of hands-on experience in data analysis, machine learning, statistical modeling, and delivering actionable insights. The ideal candidate will play a key role in shaping data strategies, building predictive models, and driving measurable business outcomes through data-driven solutions.
Key Responsibilities:
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.
  • Develop and deploy machine learning models for classification, regression, clustering, NLP, or time-series forecasting.
  • Collaborate with cross-functional teams (Product, Engineering, Business) to define problems and deliver solutions.
  • Create interactive dashboards and visualizations using tools like Power BI, Tableau, or Plotly.
  • Perform feature engineering, data cleaning, and transformation using advanced data wrangling techniques.
  • Work closely with Data Engineers to design and maintain scalable data pipelines.
  • Interpret model results and communicate findings to both technical and non-technical stakeholders.
  • Continuously monitor, evaluate, and fine-tune model performance in production.
  • Contribute to the development of AI/ML best practices, documentation, and model governance.
Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
  • Looking to get Placed? Try our Placement Guarantee Plan

  • 7+ years of experience in data science or analytics with proven impact on business performance.
  • Strong knowledge of machine learning algorithms, statistics, and predictive analytics.
  • Expertise in Python (NumPy, pandas, scikit-learn, TensorFlow, etc.) and SQL.
  • Experience working with big data platforms (e.g., Spark, Databricks, Hadoop).
  • Solid understanding of MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow).
  • Familiarity with cloud platforms: Azure, AWS, or GCP for data and model deployment.
Preferred Qualifications:
  • Exposure to NLP, Deep Learning, or Generative AI projects.
  • Experience with A/B testing, causal inference, and experiment design.
  • Certifications in data science or cloud platforms (Azure Data Scientist Associate, AWS Data Analytics, etc.)

Skills

Data AnalyticsBig DataPythonData AnalysisData ScienceDeep LearningMachine LearningPredictive AnalyticsStatistical ModelingAi/mlData ScientistAnalyticsAiMlSql

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Important dates & deadlines?

Application Deadline

13 Oct 26, 02:10 PM IST

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