Senior Data Scientist & Engineer: Lead Analytics & ML

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

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.