Hire A Data Scientist

Our Services

Hire Data Scientists for Up to 80% less than US & UK Equivalents

Our recruitment agency has helped hundreds of employers and companies hire amazing staff in the Philippines.

Savings of up to 80% by hiring a Data Scientist in the Philippines

Why hire from the Philippines?

tasks & necessary qualifications of data scientists

Data Scientist job description

Tasks

  • Perform analyses on products to answer open-ended questions and provide strategic recommendations.

  • Design and guide experiments/analysis to measure impact and drive product improvements.

  • Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.

  • Develop predictive models and algorithms to solve business problems using machine learning techniques such as regression, classification, clustering, etc.

  • Analyze and interpret data to identify patterns, trends, and insights that drive business growth

  • Communicate data-driven insights and recommendations to stakeholders in a clear and concise manner

  • Collaborate with cross-functional teams to develop data-driven solutions that address business challenges

  • Stay up-to-date with the latest trends and techniques in data science and machine learning

Qualifications

  • Degree in Computer Science, Statistics, Mathematics, or a related field

  • Proven experience as a Data Scientist or similar role

  • Strong proficiency in data manipulation and analysis

  • Experience with machine learning techniques such as regression, classification, clustering, etc.

  • Experience driving impact for a digital product with an iterative development cycle.

  • Experience with data visualization tools such as Tableau, Power BI, etc.

  • Experience in data analyses using SQL is mandatory.

  • Experience in programming/modeling in Python is mandatory

  • Demonstration of our core company cultural values: clear communication, positive energy, continuous learning, and efficient execution.

  • Ability to work independently and as part of a team

  • Portfolio showcasing previous work and demonstrating skills and experience

  • Strong English skills in written and verbal communication

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