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Location
Remote (Malaysia)
Employment
Full-Time
Overview
Company
Impact
Profile match
Fuku is a fast-casual restaurant concept founded by chef David Chang that specializes in Asian- and Southern-inspired spicy fried chicken. Originating from a secret menu item at Momofuku Noodle Bar in New York, the brand has grown into a standalone culinary concept known for its signature chicken sandos, tenders, and sides. Today, Fuku operates through brick-and-mortar locations, major sports arenas, airports, and high-traffic venues across the United States.

Job responsibilities:

- Analyze complex datasets to identify trends, patterns, and insights that drive business decisions.

- Develop and implement machine learning models and algorithms to solve business problems.

- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

- Design and maintain data pipelines and ETL processes to ensure data quality and accessibility.

- Communicate findings and insights to stakeholders through visualizations and reports.

- Stay updated with the latest industry trends and technologies to continuously improve data science practices.

Job requirements:

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

- Proven experience as a Data Scientist or in a similar role, with a strong portfolio of projects.

- Proficiency in programming languages such as Python, R, or SQL.

- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.

- Strong analytical and problem-solving skills with the ability to interpret complex data.

- Excellent communication skills to effectively convey technical information to non-technical stakeholders.

Job benefits:

- Competitive salary and performance-based bonuses.

- Comprehensive health and wellness benefits package.

- Opportunities for professional development and career advancement.

- Flexible working hours and remote work options.

- Collaborative and inclusive work environment.

- Access to the latest tools and technologies in data science.

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