Sr. Data Scientist

Abacus Global; Lahore; On-site; PKR 3,000,000 - 4,500,000; Full time

Job summary

Abacus Global in Lahore is seeking an experienced Senior Data Scientist/Engineer to join their team. The ideal candidate will possess a strong background in data science and engineering, with 5+ years of experience leading data projects. Responsibilities include analyzing complex datasets, developing statistical models, and mentoring junior team members.

The role requires proficiency in programming languages like Python and R, expertise in data processing frameworks, and strong SQL skills. Successful candidates will thrive in a collaborative environment and stay updated with the latest advancements in the field.

Qualifications

• 5+ years of experience in data science, data engineering, or a related field.
• Proven experience leading data projects and managing teams.
• Extensive experience with data analysis, statistical modeling, and machine learning.

Responsibilities

• Analyze and interpret complex datasets to uncover trends and insights.
• Develop and implement statistical models and machine learning algorithms.
• Design and maintain scalable data pipelines and architectures.
• Ensure data quality, integrity, and security.
• Lead data science projects from conception to deployment.

Skills

Data Analysis

Machine Learning

Programming (Python, R, Scala)

Data Processing Frameworks (Apache Spark, Hadoop)

SQL

Data Visualization (Tableau, Power BI)

Education

Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related field

Tools

Cloud Platforms (AWS, Azure, Google Cloud)

Job description

We are seeking an experienced and highly skilled Senior Data Scientist/Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets, and the ability to lead projects and mentor junior team members

Key Responsibilities

Data Analysis and Interpretation

Analyze and interpret complex datasets to uncover trends, patterns, and actionable insights.

Develop and implement advanced statistical models and machine learning algorithms to solve business problems.

Design, develop, and maintain scalable data pipelines and architectures.

Ensure data quality, integrity, and security across various sources.

Optimize data storage solutions for efficiency and performance.

Lead data science and engineering projects from conception to deployment.

Coordinate with cross‑functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.

Define project scope, goals, and deliverables that support business objectives.

Mentorship and Collaboration

Mentor and provide guidance to junior data scientists and engineers.

Foster a collaborative and innovative team environment.

Communicate complex technical concepts and insights to non‑technical stakeholders.

Research and Development

Stay current with the latest advancements in data science, engineering, and machine learning.

Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics.

Deployment and Maintenance

Deploy and monitor machine learning models in production environments.

Continuously improve and maintain existing data models and infrastructure.

Implement best practices for model management and version control.

Qualifications

Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

Experience

5+ years of experience in data science, data engineering, or a related field.

Proven experience leading data projects and managing teams.

Extensive experience with data analysis, statistical modeling, and machine learning.

Technical Skills

• Proficiency in programming languages such as Python, R, or Scala.
• Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
• Strong SQL skills and experience with relational and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.