Job Summary
We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will leverage data to uncover actionable insights, build predictive models, and support strategic decision-making. This role requires strong statistical knowledge, programming expertise, and the ability to translate complex data into meaningful business solutions.
Key Responsibilities
- Collect, clean, and analyze large, complex datasets from multiple sources
- Develop and deploy predictive models and machine learning algorithms
- Identify trends, patterns, and insights to support business strategies
- Design and implement data-driven experiments and A/B testing
- Collaborate with cross-functional teams including product, engineering, and leadership
- Communicate findings through visualizations, dashboards, and presentations
- Optimize data processes and improve data quality standards
- Stay current with emerging technologies and industry best practices
Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- 2+ years of experience in data science, analytics, or related role (experience level may vary)
- Strong programming skills in Python, R, or similar languages
- Experience with SQL and working with large databases
- Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
- Solid understanding of statistics, probability, and data modeling techniques
- Experience with data visualization tools (Tableau, Power BI, Matplotlib, etc.)
Preferred Skills
- Experience with big data technologies (Spark, Hadoop)
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Strong problem-solving and critical-thinking abilities
- Excellent communication and presentation skills
- Ability to translate technical insights into business value
