Data Scientist

Job Purpose:

The Data Scientist will be responsible for transforming raw and legacy data into structured, accurate, and dashboard-ready datasets. The role focuses on migrating old data into new systems, cleaning and standardizing datasets, and enabling high-quality analytics and reporting.

Key Responsibilities:

• Transform and restructure large datasets from legacy systems into new standardized formats.
• Clean, validate, and harmonize historical data to ensure accuracy and consistency.
• Build automated data pipelines for continuous data updates and system integration.
• Translate raw and unorganized data into readable, analytics-ready datasets.
• Develop interactive dashboards and reports (Power BI or similar).
• Identify data gaps, inconsistencies, and propose improvement solutions.
• Collaborate with technical and business teams during data migration or system upgrades.
• Document data mapping, transformation logic, and maintain version control.
• Build scripts/tools to automate data extraction, mapping, and transformation processes.

Required Skills & Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field.
• 2–3 years of experience in data transformation, ETL, or system migration.
• Strong hands-on experience with Power BI and dashboard creation.
• Proficiency in SQL and Python (Pandas, NumPy) for data cleaning and restructuring.
• Strong understanding of data modeling, data mapping, and data quality management.
• Ability to simplify complex datasets and make them business-ready.
• Excellent problem-solving and communication skills.

Preferred:

• Experience migrating data from legacy systems to modern platforms.
• Experience building automated ETL pipelines.
• Experience working with large-scale datasets in government or enterprise environments.