Data Scientist

November 30, 2023 | Database/Data Engineering/Data Analytics | 1 positions in Phnom Penh

Job responsibilities

• Working on all aspects of creating predictive intelligence including collecting requirements, establishing analytics work plans, data exploration, cleansing, and preparation, identifying features, selecting algorithms, building and testing models, and iteratively improving solutions.
• Performing hands-on data analysis to design predictive systems or improve the performance of systems.
• Designing scalable and efficient methods for big data.
• Researching new algorithms and machine learning solutions for solving business problems.
• Presenting complex ideas and their value proposition to non-technical audiences as a coherent story with clear and easy-to-follow conclusions.
• Providing guidance to business decisions by interpreting statistics, and preparing high-level presentations of data for executive review.
• Collecting requirements for both new and existing products of the company.
• Handling prioritization of various initiatives, and communicating with key stakeholders regarding progress.
• Be a driver for product/functional demand planning & delivery in collaboration with marketing.
• Driving company-wide reporting strategy together with internal stakeholders such as Architects, marketing, and performance governance team.

Job requirements

• Possess a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a similarly quantitative discipline.
• Minimum of 2 years of professional experience in a related field.
• Excellent written and verbal communication skills in English and Khmer.
• Familiarity with big data systems and methodologies is required.
• Proficient in utilizing query languages such as SQL, Hive, Spark QL, and Python.
• Proficient in using statistical modeling tools including R, SAS, and SPSS.
• Demonstrated experience in extracting, cleaning, and preparing data for modeling purposes.
• Proven track record in building and implementing machine learning and predictive modeling techniques in practical, real-world scenarios.
• Excellent communication and presentation skills.
• Strong problem-solving abilities with a creative and innovative mindset.
• A team player with a result-oriented attitude, paying strong attention to detail and possessing an analytical mind.
• Exhibits intellectual curiosity and a genuine passion for data and analytics.
• Curiosity-driven and consistently seeking innovative and practical avenues to enhance existing processes and practices, while prioritizing customer satisfaction.
• Strong entrepreneurial mindset, constantly seeking opportunities for growth and improvement, particularly within a startup environment.
• Possesses a solid grasp of fundamental business principles and concepts, and can effectively connect business objectives with technical implementation.
• Demonstrates a deep passion for comprehending the needs and expectations of both internal and external customers, and strives to surpass them.

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