AI-Powered Data Scientist: Build & Deploy Models

Hire Feed; Pakistan; On-site; PKR 2,000,000 - 4,000,000; Full time

Job summary

Hire Feed is seeking a Data Scientist for a full-time role to design, build, and deploy machine learning models that inform strategic decisions. You will work with cross-functional teams to translate data into actionable business insights and scalable data pipelines.

The ideal candidate has strong Python/R skills, ML framework experience, solid statistics background, and familiarity with SQL and cloud platforms. This is a globally oriented opportunity in the Technology sector.

Qualifications

• Proficiency in Python or R for data analysis and modeling.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong background in statistics, probability, and experimental design.
• Familiarity with SQL and database management for data extraction and manipulation.
• Experience with big data tools like Spark or Hadoop is a plus.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment.

Responsibilities

• Design, build, and validate predictive models using statistical and machine learning techniques.
• Clean, preprocess, and analyze large datasets to extract actionable insights.
• Develop and maintain scalable data pipelines for efficient data processing.
• Collaborate with stakeholders to define project requirements and deliver measurable outcomes.
• Document methodologies, findings, and recommendations for technical and non-technical audiences.

Skills

Python or R

Statistics

Data analysis

Communication

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Tableau

SQL

AWS

GCP

Azure

Job description

Hire Feed is seeking a Data Scientist for a full-time role to design, build, and deploy machine learning models that inform strategic decisions. You will work with cross-functional teams to translate data into actionable business insights and scalable data pipelines.

The ideal candidate has strong Python/R skills, ML framework experience, solid statistics background, and familiarity with SQL and cloud platforms. This is a globally oriented opportunity in the Technology sector.