Posted on: 08/09/2025
Key Responsibilities :
- Analyze large, complex datasets to extract actionable insights and support data-driven decision-making.
- Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities and deliver impactful solutions.
- Lead end-to-end data science projects from problem definition, data acquisition, model development, validation, and deployment.
- Mentor junior data scientists and analysts, providing technical guidance and best practices.
- Communicate findings, model results, and data-driven recommendations to both technical and non-technical audiences.
- Stay up-to-date with the latest trends, tools, and technologies in data science and machine
learning.
- Ensure data quality, integrity, and governance throughout analytical processes.
Qualifications and Skills :
- Strong proficiency in programming languages such as Python, R, or Scala.
- Expertise in machine learning techniques, statistical analysis, predictive modeling, and data
mining.
- Hands-on experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms
(AWS, Azure, GCP) is a plus.
- Solid understanding of data visualization tools (Tableau, Power BI, matplotlib, etc.)
- Experience with SQL and NoSQL databases.
- Strong problem-solving skills and ability to translate business problems into data science
solutions.
- Excellent communication and presentation skills.
- Advanced degree (Masters or Ph.D.) in Computer Science, Statistics, Mathematics,
Engineering, or a related field is preferred
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