Data Scientist

QuirkyBit; Lahore; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

QuirkyBit in Lahore, Pakistan, seeks a data scientist to turn data into actionable insights by building predictive models for financial services clients.

You will analyze large datasets, develop models for prediction and anomaly detection, create visualizations for stakeholders, and collaborate with engineering to deploy in production, while staying current with the latest research. Experience with time series forecasting and Python/SQL is essential.

Qualifications

• MS/PhD in Statistics, Mathematics, Computer Science or related field.
• 3+ years industry experience in data science.
• Strong background in statistical analysis and modeling.
• Proficiency in Python and SQL.
• Experience with time series analysis and forecasting.

Responsibilities

• Analyze large datasets to identify patterns, trends and opportunities.
• Develop machine learning models for prediction, classification, and anomaly detection.
• Create data visualizations and reports to communicate insights to stakeholders.
• Collaborate with engineering teams to implement models in production.
• Stay current with latest research and methodologies in data science.

Skills

Python

SQL

Time series analysis

Forecasting

Data visualization

Education

MS or Ph.D. in Statistics, Mathematics, Computer Science or related field

Tools

Spark

Hadoop

Cloud platforms

Deep learning

Explainable AI

Job description

Turn data into insights and develop predictive models that drive business value for our clients across financial services.

Responsibilities

• Analyze large datasets to identify patterns, trends and opportunities
• Develop machine learning models for prediction, classification, and anomaly detection
• Create data visualizations and reports to communicate insights to stakeholders
• Collaborate with engineering teams to implement models in production
• Stay current with latest research and methodologies in data science

Requirements

• M.S. or Ph.D. in Statistics, Mathematics, Computer Science or related field
• 3+ years industry experience in data science
• Strong background in statistical analysis and modeling
• Proficiency in Python and SQL
• Experience with time series analysis and forecasting

Nice to have

• Knowledge of big data technologies (Spark, Hadoop)
• Experience with cloud-based data science platforms
• Background in deep learning techniques
• Experience with explainable AI methodologies