Data Scientist

5 days ago

Cebu City, Philippines Qualfon Full time

Data Scientist Qualfon Cebu, Central Visayas, PhilippinesDirect message the job poster from Qualfon Work arrangement: Onsite (IT Park, Cebu) Major Duties and Responsibilities Mine and analyze structured and unstructured data from company databases to drive optimization and improvement of products and services. Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Present results in a clear manner. Collaborate with cross-functional business and technical teams. Requirements Basic Knowledge Proficient in Microsoft Office (Excel, Word, Outlook, PowerPoint) Time management skills and ability to handle multiple priorities and deadlines simultaneously and effectively. Work Experience 1 year experience using statistical computer languages such as Python and SQL to manipulate data and draw insights from large data sets. Proven experience as Data Analyst or Data Scientist. Education Bachelor’s Degree or Higher in a discipline related to Math, Technology, Engineering, or Science (a plus). Training General knowledge of telecom business, various products and brands. Experience with collaboration tools such as Jira or Confluence (a plus). Core Competencies Excellent listening, written and verbal communication skills. Well-developed problem‑solving and critical‑thinking skills. Aptitude for problem solving, both individually and in collaboration with teammates. Ability to work independently, expedite tasks and meet deadlines. Specific Competencies Experience querying databases and using statistical computer languages: R, Python, SQL. Machine learning algorithms and statistics: regression, time‑series forecasting, clustering, decision trees, neural networks, natural language processing. Experience with data visualization tools and techniques such as Plotly, Tableau, Power‑BI, Streamlit. Familiar with cloud technologies (AWS preferred): Amazon SageMaker, S3, Redshift, Lambda, etc. Familiar with GitHub or equivalent code repositories. Behavioral Competencies Positive attitude. High professional standards. Seniority Level Mid‑Senior Level Employment Type Full‑time Job Function Engineering, Information Technology, and Analyst Industries Outsourcing and Offshoring Consulting and IT Services and IT Consulting #J-18808-Ljbffr

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