Data Scientist

Job Description:

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.