Senior Data Scientist - Time-Series & Predictive Analytics

Convo; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Convo in Islamabad, Pakistan seeks a Data Scientist with 5+ years of experience to develop scalable, data-driven solutions focusing on time-series forecasting, predictive analytics, and advanced data manipulation. Strong Python, pandas, NumPy, Matplotlib, PySpark, Databricks, Git, and Azure DevOps skills are required, along with solid statistics and data analysis fundamentals.

You will collaborate with stakeholders and data engineers to translate business problems into analytical solutions,

Qualifications

• Develop, evaluate, and deploy time-series forecasting models for business and commercial applications.
• Build predictive analytics solutions to support data-driven decision-making.
• Perform data preparation, cleansing, transformation, and feature engineering using Python and pandas.
• Work with large datasets using PySpark and optimize data processing workflows.
• Develop and maintain data pipelines and analytical workflows in Databricks.
• Analyze trends, seasonality, outliers, and other patterns in historical data.
• Select appropriate forecasting and predictive modeling techniques based on business requirements.
• Validate model performance using relevant statistical and business metrics.
• Collaborate with business stakeholders, data engineers, and technology teams to translate business problems into analytical solutions.
• Use Azure DevOps for source control, work-item tracking, CI/CD, and collaborative development.
• Document analytical methodologies, assumptions, code, and model results clearly.
• Monitor model performance and recommend improvements when data or business conditions change.
• Follow established standards for code quality, testing, version control, and deployment.

Responsibilities

• Develop time-series forecasting models for commercial use.
• Create predictive analytics solutions to guide business decisions.
• Process and feature engineer data with Python/pandas.
• Optimize PySpark-based data pipelines for performance.
• Build and maintain Databricks notebooks, jobs, and data workflows.
• Assess trends and seasonality to improve forecasts.
• Evaluate models using business metrics and statistics.
• Collaborate with data teams to translate requirements into models.
• Document methodologies, code, and results clearly.
• Monitor production models and implement improvements as needed.

Skills

Analytical thinking

Problem solving

Communication skills

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

Tools

Python

pandas

NumPy

Matplotlib

PySpark

Databricks

Git

Azure DevOps

SQL

Linux

Job description

Convo in Islamabad, Pakistan seeks a Data Scientist with 5+ years of experience to develop scalable, data-driven solutions focusing on time-series forecasting, predictive analytics, and advanced data manipulation. Strong Python, pandas, NumPy, Matplotlib, PySpark, Databricks, Git, and Azure DevOps skills are required, along with solid statistics and data analysis fundamentals.

You will collaborate with stakeholders and data engineers to translate business problems into analytical solutions,