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