BAT is looking for IDT Data Scientist 2024 in Dhaka.
Job Responsibilities:
Data-Driven Solution Creation and Management
- Identify & Develop Solutions: Collaborate with business units to identify opportunities and design data-driven solutions tailored to specific challenges.
- Analyze & Interpret Data: Conduct in-depth analysis to uncover insights that inform strategic decision-making and optimize business processes.
- Measure & Report Impact: Continuously monitor the effectiveness of data-driven initiatives, providing insights and reports to stakeholders.
- Collaborate & Innovate: Work with cross-functional teams and stay updated on industry trends to bring innovative solutions to the business.
Business Partnering
- Support Strategic Initiatives: Provide data insights and analytical support to drive strategic decision-making and enhance business performance.
- Enable Data-Driven Culture: Empower business functions by promoting data-driven thinking and helping them utilize data for problem-solving and innovation.
- Foster Relationships: Build and maintain strong relationships with key stakeholders to ensure alignment and successful implementation of data initiatives.
Location:
BangladeshBenefits
Visit the official link.
Eligibilities
Job Requirements:
ESSENTIAL EXPERIENCE, SKILLS, AND KNOWLEDGE
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Business Analytics, Economics or a related discipline).
- A minimum of 3 years of professional experience in data analysis, with a strong background in the FMCG or related industry.
- Proficiency in SQL and PowerBI is required; proficiency in Python/R is an added advantage.
- Experience in implementing ML and AI solutions, preferably in FMCG or relevant industry
- Strong analytical thinking and problem-solving abilities.
- Outstanding communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders.
- Proven project management skills, with a track record of successfully managing multiple projects simultaneously.
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud, especially in deploying and managing data pipelines, ML models, and other analytics tools.
For Further Queries
Visit the official link.
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