Drive business decisions by uncovering trends through data analysis..Grow your skills in a dynamic, innovation-focused environment.About Our Client
This opportunity is with a large organization in the Technology & Telecoms sector, known for its focus on leveraging data-driven innovations. The company provides a collaborative environment where employees work on cutting-edge projects.
Job Description
- Develop and implement machine learning models to solve complex business challenges in the Technology & Telecoms industry.
- Analyze large-scale structured and unstructured data to extract meaningful insights.
- Collaborate with cross-functional teams to integrate data science solutions into business processes.
- Design and optimize algorithms for predictive and prescriptive analytics.
- Present findings and actionable recommendations to stakeholders in clear, concise formats.
- Stay updated with the latest advancements in data science and machine learning technologies.
- Mentor other data scientists and contribute to the development of the analytics department.
- Ensure data quality and compliance with regulatory standards.
The Successful Applicant
- A strong educational background in computer science, statistics, or a related field.
- Knowledgeable in machine learning, data modeling, and statistical analysis.
- Proficiency in programming languages such as Python, R, or similar tools.
- Experience with data visualization tools and techniques.
- Solid knowledge of big data platforms and cloud technologies.
- Excellent problem-solving skills and attention to detail.
- The ability to communicate complex concepts clearly to non-technical stakeholders.
What's on Offer
- Competitive salary package ranging from PHP 1,500,000 to PHP 2,200,000 annually.
- Opportunities to work on impactful projects in the Technology & Telecoms industry.
- Supportive work environment with opportunities for career growth and development.
- Comprehensive benefits package and flexible working arrangements.
If you are passionate about analytics and want to make a difference as a Senior Data Scientist, we encourage you to apply today! #J-18808-Ljbffr