Programmers Force is a product-driven software company that excels in the field of Artificial Intelligence and Machine Learning since 2016. The company was founded by a team of visionary entrepreneurs that led its operations under software development, data science, DevOps, system architecture, big data processing, and blockchain-based applications development. We take pride in our diversified workforce with talent coming from top institutions of Pakistan and abroad. Our vision is to create innovative and intelligent business solutions through the development of smart web & mobile applications with a mission to support global industries in their day-to-day business challenges. Our specialized teams possess tacit knowledge of high-tech systems that enables us to tap businesses from more than 200 countries worldwide. This is just a beginning for us! We are in search of talented candidates with technical expertise who can add value to our fast-paced and work-intensive environment.

If you are up for this challenge, you know where to apply!

Data Scientists discover the information hidden in vast amounts of data, and make smarter decisions to deliver even better products. The focus is on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. Automate scoring using machine learning techniques, build recommendation systems, improve and extend the features used by our existing classifier, develop internal A/B testing procedures, build systems for automated fraud detection.

Responsibilities and Duties

• Data manipulation: Be comfortable in querying large datasets, with the ability to help manipulate and construct the right data structures starting with the end in mind. With an eye for data quality to ensure the rigor of input data going into models.

• Maintenance: Have a good blend of data science with data engineering concepts in order to help monitor and maintenance of model production pipelines, including implementation of error handling and testing of analytics code.

• Stakeholder management: Being able to communicate with different levels of the business and gather their needs

• Storytelling: Ability to translate data science concepts into business language and create a compelling storyline from it

• Data visualization: Work with others to design, deploy and maintain online tools and dashboards to be consumed by different parts of the business

• Data experimentation: Eager to learn and/or challenge existing forecast models and apply cutting-edge machine learning techniques. 

Skills & Requirements

• A degree in Computer Science, Physics, Mathematics or a similar quantitative subject

• A solid understanding of statistics (hypothesis testing, regressions, random variables, inference)

• Comfortable with presenting back to technical and non-technical stakeholders through effective data visualization and building of reporting frameworks

• Basic knowledge of software development lifecycles, engineering, and machine learning practices (Data pipelines, API workflows, CI/CD deployments, DataOps, MLOps)

You must have at least two years of production-level experience as a DevOps Engineer, Front End, Back End, or a Full Stack Developer.