Data Scientist

Param Info Computer Services; Dubai; On-site; AED 150,000 - 250,000; Full time

Job summary

A leading company is seeking a Data Scientist to leverage data analysis, machine learning, and statistical modeling. The role involves analyzing complex datasets, developing predictive models, and delivering insights to enhance business outcomes. Required qualifications include a degree in a relevant field and substantial experience in data science.

Qualifications

• 7+ years of hands-on experience in data analysis and machine learning.
• Strong knowledge of machine learning algorithms and predictive analytics.
• Experience with big data platforms and MLOps tools.

Responsibilities

• Analyze large datasets to identify actionable insights.
• Develop and deploy machine learning models.
• Collaborate with cross-functional teams on data solutions.

Skills

Data analysis

Machine learning

Statistical modeling

Predictive analytics

Data wrangling

Education

Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics

Tools

Python

SQL

Power BI

Tableau

Plotly

Spark

Databricks

Hadoop

MLflow

Kubeflow

Airflow

Azure

AWS

GCP

Job description

• 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:

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
• 5+ 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.

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