Data scientist
teza companyy
Part-TimeOn-SiteSri lanka
Posted on 11/09/2026
About the Role
We are looking for a talented and motivated Data Scientist to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting data to identify valuable insights and support business decision-making.
You will work on building data models, developing machine learning solutions, and partnering closely with cross-functional teams to solve real-world problems. This position is well suited for someone who combines analytical thinking, technical capability, and a practical approach to turning data into actionable outcomes
What You'll Do
- Collect, clean, and analyze data from relevant sources to support business needs.
- Interpret datasets to uncover trends, patterns, and actionable insights.
- Build data models that help explain performance, behavior, and business outcomes.
- Develop machine learning solutions for practical, real-world use cases.
- Collaborate with cross-functional teams to understand problems and translate them into data-driven approaches.
- Support decision-making by presenting findings in a clear and useful way.
- Contribute to solving business challenges through structured analysis and experimentation.
Key Responsibilities
- Own the end-to-end analysis process, from data collection through insight generation.
- Deliver high-quality data models and analytical outputs that support business decisions.
- Help define and apply machine learning approaches that address real business problems.
- Partner with stakeholders across functions to ensure analytical work aligns with business objectives.
- Maintain accuracy, consistency, and reliability in data interpretation and reporting.
- Translate complex analytical results into practical recommendations for non-technical audiences.
Requirements
- Experience in collecting, analyzing, and interpreting data.
- Ability to identify meaningful insights that support business decision-making.
- Experience building data models for analysis and problem-solving.
- Familiarity with developing machine learning solutions.
- Strong analytical and problem-solving skills.
- Ability to work effectively with cross-functional teams.
- Clear communication skills for explaining findings and recommendations.
- Motivated, detail-oriented, and capable of working on real-world business challenges
Nice to Have
- Experience applying data science methods to business or operational problems.
- Familiarity with model evaluation, validation, and performance monitoring.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
- Experience working in collaborative, team-based environments.
- Comfort handling ambiguous problem statements and turning them into structured analyses.
Why Join Us
- Work on meaningful, real-world problems where data science can directly support business decision-making.
- Collaborate with cross-functional teams and contribute to solutions that have practical impact.
- Build and apply both data modeling and machine learning capabilities in a single role.
- Join a friendly and collaborative working environment that supports teamwork and knowledge sharing.
- Grow your expertise through professional development opportunities while contributing to important business outcomes.
Benefits & Perks
- Health insurance.
- Competitive salary.
- Professional development opportunities.
- Friendly and collaborative working environment
