Senior Data Scientist

Space Capital; Islamabad; On-site; PKR 450,000 - 700,000; Full time

Benefits offered by this job

Mentorship

Onboarding programs

Global Talent Exchange Program

Awards or sports activities

Social impact and volunteering

Language courses

Speaking clubs

Job summary

Space Capital is seeking a Senior Data Scientist to architect, build, and deploy production-grade NLP models for automating customer support at scale in Pakistan.

You will lead the ML lifecycle, translate business goals into measurable data problems, and collaborate across teams to deliver robust, scalable systems.

Qualifications

• 5 years of professional experience in a data science or ML role with deep NLP focus.
• Software engineering experience is preferrable.
• Academic background in a quantitative field such as CS or Math is a plus.
• Expert Python and core data science libraries (Pandas, NumPy, Scikit-learn).
• Deep ML/DL expertise with strong math foundations.
• Experience with ML system design and MLOps for production models.
• Proven experience with event systems, deployment environments, and production services.
• Familiarity with streaming, batch, and async data processing technologies.
• Strong software system design understanding and architectural collaboration.
• Experience in experimental design to validate hypotheses.
• Security, risk, and control knowledge in production environments.

Responsibilities

• Lead the entire machine learning model lifecycle from research to production deployment and maintenance.
• Translate business goals into well-defined data science problems and metrics.
• Design and develop scalable ML systems, including data analysis, annotation, and processing pipelines.
• Contribute to system architecture and integrate ML models with backend services.
• Monitor deployed models and address issues like concept drift.
• Mentor and onboard team members to drive growth.
• Automate repetitive tasks and propose innovative, high-impact solutions.
• Explain complex technical findings clearly to technical and non-technical stakeholders.

Skills

NLP-focused experience

Software engineering experience

Python data science

ML & DL techniques

MLOps

Production services

Streaming/batch/async data processing

System design

Experiment design

Security & risk

Education

Quantitative background (CS/Math)

Job description

Description

The AI Solution Delivery team is expanding its capabilities in NLP to build production-grade AI products. We are looking for a Senior Data Scientist to architect, build and deploy complex models for automating customer support operations. You will be responsible for selecting the right technical approaches and ensuring the scalability of our solutions. A proven track record in applying advanced NLP techniques to real-world problems is required.

Department

AI Cluster

Employment Type

Full Time

Location

Pakistan

Key Responsibilities

• Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance
• Translate complex business goals into well defined data science problems and quantifiable metrics
• Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines
• Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure
• Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance
• Support the development and growth of other team members through mentorship and participation in onboarding programs
• Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact
• Communicate complex technical concepts and findings clearly and concisely to both technical and non technical stakeholders

Skills, Knowledge and Expertise

• 5 years of professional experience in a data science or machine learning role with deep focus on NLP.
• Previous software engineering experience is preferrable.
• An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus
• Expert level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit learn).
• Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields.
• Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment.
• Proven experience with event systems, deployment environments, and maintaining production services.
• Familiarity with technologies for streaming, batch, and async data processing.
• Strong understanding of software system design principles and the ability to contribute to architectural discussions.
• Experience in experimental design to validate hypotheses and measure the effectiveness of solutions.
• A solid grasp of security, risk, and control concepts in a production environment.

Conditions & Benefits

• Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.

Final benefits may vary depending on the location.