Call For Referral

About The Role

This role is part of a talent pool for future data science projects and engagements. Selected candidates will be prioritized for upcoming opportunities involving advanced analytics, machine learning, and data-driven decision-making across industries.

Position: Data Scientist

Type: Contract

Engagement: Remnote Global | Part-time

Location: Remote

Role Responsibilities

* Develop and deploy machine learning models and statistical solutions for complex business problems
* Transform raw data into actionable insights using advanced data processing and visualization techniques
* Collaborate with cross-functional teams to define data requirements and deliver impactful solutions
* Build and manage scalable data pipelines using cloud platforms such as AWS, Azure, and Google Cloud Platform
* Create dashboards and visualizations using Power BI and Matplotlib
* Write clean, efficient code in Python and R for automation and analysis
* Document methodologies and present findings clearly to technical and non-technical stakeholders

Qualifications

Must-Have:

* Strong proficiency in Python, R, and SQL for data analysis and modeling
* Hands-on experience with Power BI for reporting and visualization
* Experience working with AWS, Azure, and Google Cloud Platform
* Proficiency in data visualization using Matplotlib
* Strong analytical and problem-solving skills
* Excellent written and verbal communication skills
* Ability to work independently in a remote, collaborative environment

Nice-to-Have

* Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
* Experience working across multiple projects or industries
* Experience mentoring or leading data science initiatives

Application & Onboarding Process

* Upload resume
* AI interview: A short, 15-minute conversational session to understand background and expertise
* Follow-up communication with next steps and onboarding details

Data

Data Science

Project management

Machine Learning

Python

Cloud

Azure

Google Cloud Platform

Data analytics

Analysis

Automation

Matplotlib

Data Visualization

Communications

Statistics

Data Pipelines

Data Scientist