Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics & machine learning capabilities.
Build out frameworks and services for our Machine Learning services, systems, and dashboards.
Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
Work with and help implement data models/data schema’s for data scientists & data analyst to build visualizations & statistical/predictive models.
Requirements
At least 3+ years of experience working as a data scientist
Expertise in Python, SQL, Pandas, NumPy
Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch
Understanding about depth and breadth of computer vision, NLP and deep learning algorithms
Extensive expertise in Django, Flask
Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS & GCP
Been part of a distributed software engineering team
Experience with RESTful APIs and server-side APIs integration
Worked with Docker or other containerization software
Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms
Experience in designing Data Models (Data schema)
Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle
Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale
Been on at least one “death march” and know exactly why some things are to be avoided.
Excellent communication and interpersonal skills
Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)
Experience Working with AI/Analytics teams
Worked for visualization development on Enterprise Tools (Tableau, Power BI)
Worked on integration of Enterprise BI tools
Understanding of data mining & machine learning concepts
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PackageX
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PackageX is a company focused on revolutionizing logistics through automation and digitization. It offers solutions for automating package and inventory receiving processes in warehouses, stores, and commercial buildings.
PackageX's platform utilizes advanced scanning technology and integrates with various systems via APIs, enabling enhanced efficiency, accuracy, and visibility. Their offerings include label scanning and bill of lading APIs to streamline package management and fulfillments, aiming to empower logistics teams across sectors, including warehousing, higher education, and hospitality, with AI-driven workflows and connected data sources.
The company's mission is to modernize logistics operations, providing real-time updates and reducing manual effort in package handling processes.
11 - 50 employees
☁️ SaaS
🤖 Artificial Intelligence
Senior Data Scientist
9 minutes ago
🏢 Islamabad – Onsite
⏰ Full Time
🟠 Senior
📊 Data Scientist
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📋 Description
Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics & machine learning capabilities.
Build out frameworks and services for our Machine Learning services, systems, and dashboards.
Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
Work with and help implement data models/data schema’s for data scientists & data analyst to build visualizations & statistical/predictive models.
🎯 Requirements
At least 3+ years of experience working as a data scientist
Expertise in Python, SQL, Pandas, NumPy
Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch
Understanding about depth and breadth of computer vision, NLP and deep learning algorithms
Extensive expertise in Django, Flask
Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS & GCP
Been part of a distributed software engineering team
Experience with RESTful APIs and server-side APIs integration
Worked with Docker or other containerization software
Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms
Experience in designing Data Models (Data schema)
Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle
Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale
Been on at least one “death march” and know exactly why some things are to be avoided.
Excellent communication and interpersonal skills
Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)
Experience Working with AI/Analytics teams
Worked for visualization development on Enterprise Tools (Tableau, Power BI)
Worked on integration of Enterprise BI tools
Understanding of data mining & machine learning concepts
Apply Now
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