Mid Data Scientist

2 days ago

Manila, National Capital Region, Philippines Outsourced Quality Assured Services Inc. Full time ₱90,000 - ₱120,000 per year

Outsourced Quality Assured Services Inc. Job DescriptionDescriptionAbout is a leading ISO-certified offshore outsourcing company in the Philippines that provides dedicated remote staff to some of the world's top international companies.

Recognized as one of the Best Places to

Work with Great Place to

Work Certification, we are committed to fostering a positive and supportive work environment where staff can thrive. Our team of over 1,000 professionals enjoys a fun, friendly environment, competitive salaries, growth opportunities, work-life balance, and a chance to share their passion. The Client:A prominent operator of food and beverage outlets at travel locations, managing over 100 units across Australian airports and a rail station, featuring international brands, local favorites, and bespoke concepts to enhance travel dining experiences.

The Role:We seek a commercially-minded Data Scientist to analyze data, identify trends, and support strategic initiatives across 100+ venues in Australia and New Zealand. Responsibilities include:Analyzing structured and unstructured data to uncover patterns and insights.

Evaluating customer purchase behavior for seasonal trends and demand shifts. Providing procurement analytics for vendor selection and supply chain optimization. Designing dashboards and BI tools like PowerBI and Tableau for real-time decision-making.

Building statistical models and forecasting tools for planning and performance measurement. Conducting A/B testing and translating results into actionable recommendations.Partnering with leaders to define problems and deliver data-driven solutions. Supporting business case development with data analysis and clear recommendations.Ideal Skills and Qualifications:Proficiency in SQL, and either Python or R.Advanced data visualization skills, especially with PowerBI.Experience with procurement, POS, and transactional datasets.

Strong understanding of statistical methods and data storytelling. Business acumen and stakeholder influence through data insights. Excellent collaboration and communication skills for technical and non-technical audiences.

Work Schedule:Monday to Friday, 7am-4pm PH timeWork Location:Home-based; stable internet required. Equipment is provided. By clicking

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