Data Scientist Công Ty TNHH Giải Pháp Công Nghệ Aletech

1. Data Strategy and Architecture

- Develop and execute a comprehensive data strategy aligned with business objectives.

- Oversee the design and maintenance of data storage systems, including SQL Server and Azure Blob Storage.

2. Data Collection and Transformation

- Establish streamlined procedures for gathering and transforming raw data into actionable insights.

- Ensure data integrity and quality across the entire data lifecycle.

3. Data Organization and Accessibility

- Implement organizational frameworks to facilitate efficient data storage and retrieval.

- Ensure seamless access to critical business data for relevant stakeholders.

4. Data Visualization and Exploration

- Lead the development of compelling data visualizations to drive insights.

- Enable stakeholders to explore and comprehend data trends through intuitive dashboards and reports.

5. Monitoring and Issue Resolution

- Deploy systems for real-time monitoring of system and business process health.

- Proactively identify and resolve data-related issues to minimize operational disruptions.

6. Cost Optimization and Revenue Enhancement

- Collaborate with finance and operations teams to identify avenues for cost optimization.

- Work closely with sales and marketing teams to devise data-driven strategies for revenue growth.

7. Trend Prediction and Opportunity Identification

- Utilize advanced analytics and machine learning to forecast business trends.

- Offer strategic recommendations based on data analysis, pinpointing opportunities for business development.

Competitive benefits

- Competitive salary and bonus scheme with a 13th month salary.

- Performance review twice/year with opportunity to grow or rotate internally.

- Great Trade Union benefits such as birthdays, marriage, new born child.

Professional growth

- Opportunities to learn and grow through regular training programs, coaching and internal sharing.

- Work in a diverse environment with talented colleagues and partners/customers, local and expats.

1. Educational Background

- Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.

2. Experience

- Minimum of 5 years of experience in data management, analytics, and visualization.

- Demonstrated success in implementing data strategies within a business context.

3. Technical Skills

- Proficiency in data analysis tools such as Python.

- Familiarity with SQL Server, Azure Blob Storage, and other relevant data storage technologies.

- Strong expertise in data visualization tools (e.g., Tableau, Power BI).

4. Statistical Modeling and Machine Learning

- Profound understanding of statistical modeling and machine learning techniques.

- Ability to apply advanced analytics to tackle complex business challenges.

5. Language Proficiency

- Exceptional English language skills, both written and verbal.

- Capacity to communicate technical concepts effectively to non-technical stakeholders.

6. Leadership and Collaboration

- Proven leadership and team management capabilities.

- Effective collaboration with cross-functional teams and outstanding interpersonal skills.

7. Analytical Thinking

- Strong analytical and problem-solving skills, with meticulous attention to detail.

- Ability to translate complex data into actionable insights.

8. Innovation and Continuous Learning

- Commitment to staying abreast of industry trends and emerging technologies.

- Track record of driving innovation in data management practices.