Senior Software Engineer - Data Science

Devsinc; Lahore; On-site; PKR 25,000 - 45,000; Full time

Job summary

Devsinc is seeking a talented Data Scientist to enhance machine learning capabilities through the design and implementation of data-driven solutions. The role involves building robust data pipelines, collaborating with cross-functional teams, and mentoring junior members in data science engineering. Candidates should possess a degree in relevant fields and have 3-5 years of professional experience.

Qualifications

• 3-5 years of experience in data science and engineering roles.
• Experience translating business problems into data science projects.
• Demonstrated ability to deliver production-ready solutions.

Responsibilities

• Design and implement scalable data pipelines from various sources.
• Collaborate with data scientists to deploy machine learning applications.
• Optimize existing data workflows for accuracy and integrity.

Skills

Analytical skills

Problem-solving

Communication

Collaboration

Attention to detail

Motivated self-starter

Education

Bachelor's or Master's degree in Computer Science

Degree in Data Engineering or Machine Learning

Tools

AWS

Azure

Google Cloud

Job description

Devsinc is seeking a talented Data Science who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources
• Collaborate with data scientists to transform machine learning models into production-ready applications
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities
• Create and manage data repositories, following best practices for data governance and security
• Develop documentation and provide training to team members on data systems and workflows
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment
• Stay updated on the latest industry trends and technologies in data engineering and machine learning
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes
• Build and maintain scalable data pipelines and feature stores for training and inference use cases
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery
• Monitor and retrain models in production to ensure performance over time and handle data drift issues
• Contribute to architectural decisions on data platforms and model-serving infrastructure
• Mentor junior team members and help shape best practices in data science engineering
  
  

Requirements

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions
• Demonstrated experience translating business problems into data science projects with measurable outcomes
• Prior experience working closely with business stakeholders to operationalize models and drive ROI
  
  

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills, both verbal and written, to convey technical concepts effectively
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities
• Motivated self-starter with a passion for learning and applying new technologies