Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and actionable insights
- Design, develop, and implement machine learning models to solve business problems
- Collaborate with cross-functional teams to understand business objectives and data needs
- Present analytical findings and model results clearly to both technical and non-technical stakeholders
- Create data visualizations and dashboards to communicate insights effectively
- Develop and maintain robust data pipelines and data wrangling scripts
- Monitor model performance and continuously improve algorithms
- Stay updated with the latest advancements in data science and machine learning
Required Skills & Qualifications - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
- 2–3 years of hands-on experience in a data science or analytics role
- Strong proficiency in Python or R for data analysis and modeling
- Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch
- Solid understanding of statistical techniques and their real-world applications
- Experience with SQL and working with relational databases
- Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills