Data Scientist
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8 days ago
Role details
Contract type
Permanent contract Employment type
Part-time (≤ 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
Clean Code Principles
Amazon Web Services (AWS)
Azure
Data Transformation
Data Visualization
R
Python
Machine Learning
Power BI
SQL Databases
Data Processing
Google Cloud Platform
Matplotlib
Information Technology
Data Analytics
Data Pipelines
Job description
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., * 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
Requirements
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