Data Scientist

Nokhba.AI; Lahore; On-site; PKR 1,600,000 - 3,200,000; Full time

Job summary

Nokhba.AI in Pakistan seeks a Data Scientist to turn complex data into intelligent product decisions. You will contribute to analytics and ML initiatives while collaborating with product, engineering, and analytics teams to build data-driven solutions.

Responsibilities include analyzing data to identify patterns, developing predictive models, cleaning and preparing data, translating business problems into solutions, and presenting findings to stakeholders with clear recommendations.

Qualifications

• Practical experience in data science, machine learning, or a related field.
• Strong knowledge of Python, SQL, and statistics.
• Experience with machine learning frameworks and libraries.
• Understanding of data preprocessing, predictive modeling, and model evaluation.
• Knowledge of data visualization and analytics tools.
• Strong analytical, problem-solving, and communication skills.
• Ability to translate business requirements into data-driven solutions.
• Experience with AI/ML or SaaS products is advantageous.

Responsibilities

• Analyze complex datasets to identify patterns and trends.
• Develop, evaluate, and improve machine learning, predictive, and statistical models.
• Clean, process, and prepare data for analysis.
• Translate business problems into practical data-driven solutions.
• Present findings and recommendations to stakeholders.
• Monitor model performance and identify opportunities for improvement.
• Collaborate with product, engineering, and analytics teams to support intelligent products.

Skills

Data science

Machine learning

Python

SQL

Statistics

Data visualization

Problem solving

Communication

Tools

ML frameworks

Libraries

Job description

Job Description

Nokhba.AI is seeking a Data Scientist to help turn complex data into intelligent solutions and support data-driven product decisions. This role will contribute to specialized analytics and machine learning initiatives while collaborating with product, engineering, and analytics teams.

Responsibilities

• Analyze complex datasets to identify patterns and trends.
• Develop, evaluate, and improve machine learning, predictive, and statistical models.
• Clean, process, and prepare data for analysis.
• Translate business problems into practical data-driven solutions.
• Present findings and recommendations to stakeholders.
• Monitor model performance and identify opportunities for improvement.
• Collaborate with product, engineering, and analytics teams to support intelligent products.

Job Specification

• Practical experience in data science, machine learning, or a related field.
• Strong knowledge of Python, SQL, and statistics.
• Experience with machine learning frameworks and libraries.
• Understanding of data preprocessing, predictive modeling, and model evaluation.
• Knowledge of data visualization and analytics tools.
• Strong analytical, problem-solving, and communication skills.
• Ability to translate business requirements into data-driven solutions.
• Experience with AI/ML or SaaS products is advantageous.