Job Title: Data Scientist – Automation, Optimization & Excel Systems
Location: Lahore based Onsite
Job Type:
Department: Data & Process Automation
Position Summary:
We are seeking a technically proficient Data Scientist with strong experience in automation, process optimization, and working with Excel-based systems. This role is primarily focused on executing technical tasks, building optimization models, and automating manual processes using both code and Excel tools and SQL Queries.
Key Responsibilities:
- Develop and deploy automation solutions to replace manual workflows using Python, Excel (including macros/VBA), and related tools.
- Design, implement, and maintain optimization models for resource planning, logistics, or operational efficiency.
- Build and support Excel-based tools, dashboards, and calculators for non-technical users.
- Integrate Excel systems with data pipelines and APIs where applicable.
- Collaborate with engineering and operations teams to embed models into processes and tools.
- Provide technical documentation, maintain version control of tools, and ensure reproducibility.
- Offer insights and suggestions when appropriate, without being accountable for final decisions.
Required Qualifications:
- Bachelor’s or Master’s in Data Science, Industrial Engineering, Applied Mathematics, Operations Research, or a related field.
- Strong Python skills (pandas, NumPy, SciPy, OR-Tools, PuLP, etc.).
- Advanced Microsoft Excel skills, including complex formulas, PivotTables, macros, and VBA scripting.
- Experience building optimization models (e.g., linear programming, constraint solving).
- Proficiency in SQL and working with structured data.
- Experience automating data flows, reports, or calculations using both code and Excel.
- Clear communicator with strong attention to detail and documentation habits.
Preferred Qualifications:
- Familiarity with workflow orchestration tools (e.g., Airflow, Prefect).
- Exposure to cloud platforms (AWS, GCP, Azure) and data pipeline tools.
- Knowledge of API integration for Excel (e.g., Power Query, Office Scripts, or Python-Excel bridges).
- Experience in manufacturing, logistics, finance, or operations-heavy domains.
Job Types: Full-time, Contract
Work Location: In person
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