Data Scientist

Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics.

Responsibilities:

1. Data Analysis and Modeling: • Collaborate with cross-functional teams to understand management and business requirements. • Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to derive actionable insights. 2. Data Pipeline Development: • Design and build efficient data pipelines to support the collection, processing, and analysis of large datasets. • Ensure the availability, reliability, and scalability of data pipelines to meet business needs. 3. Business Intelligence (BI) Tool Development: • Work closely with IT teams to develop and maintain BI tools that provide intuitive access to data for business users. • Create dashboards and reports that visualize key performance indicators and support data-driven decision-making. 4. Trend Analysis and Reporting: • Conduct trend analysis to identify patterns, correlations, and anomalies in large datasets. • Generate and present regular reports on business analytics, highlighting key insights and recommendations. 5. Collaboration and Communication: • Collaborate with stakeholders to understand their analytical needs and translate them into actionable plans. • Communicate complex analytical findings to non-technical stakeholders in a clear and concise manner. Qualifications: • Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field. • Proven experience as a Data Scientist with a focus on business analytics and trend analysis. • Strong programming skills in languages such as Python or R. • Experience with data visualization tools (e.g., Zoho Analytics, Tableau, Power BI). • Knowledge of statistical modeling, machine learning, and data mining techniques. • Excellent problem-solving and critical-thinking skills.