Title: Data Science Manager
#BeMore
Do you aspire for a rewarding career that lets you do more and achieve more? Unleash your full potential at work with TDCX, an award-winning and fast-growing BPO company.
Work with the world’s most loved brands and be with awesome, diverse people. Be home, belong, and start your journey to #BeMore!
Top Reasons to work with TDCX
- Attractive remuneration, great perks, and performance incentives
- Comprehensive medical, insurance, or social security coverage
- World-class workspaces
- Engaging activities and recognition programs
- Strong learning and development plans for your career growth
- Positive culture for you to #BeMore at work
- Easy to locate area with direct access to public transport
- Flexible working arrangements
- Be coached and mentored by experts in your field
- Join a global company, winner of hundreds of industry awards
What is your mission?
- Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
- Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Any other duties and responsibilities that may be assigned to you by the management from time to time, within your category of employment in the organization and for the effective implementation, maintenance and continual improvement of the Quality Management System of TDCX.
Who are we looking for?
- Candidate must possess at least a Advanced/Higher/Graduate Diploma, Bachelor's Degree, Post Graduate Diploma, Professional Degree in Statistics, Mathematics, Computer Science or another quantitative field.
- Preferable with 2 years of working experience in the related field is required for this position.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Excellent verbal and written communication skills in English and the language of supporting market
Who is TDCX?
TDCX provides transformative digital CX solutions, enabling world-leading and disruptive brands to acquire new customers, build customer loyalty, and protect their online communities.
TDCX helps clients, including many of the world’s best brands, achieve their customer experience aspirations by harnessing technology, human intelligence, and our global footprint. We serve clients in fintech, gaming, technology, home sharing and travel, digital advertising and social media, streaming, and e-commerce. Our expertise and strong footprint in Asia have made us a trusted partner for clients, particularly high-growth, new economy companies looking to tap the region’s growth potential.
We pride ourselves on discovering and employing the best professionals to join us as we transform the outsourced CX industry. Our commitment to #BeMore for our people, our clients, and our community has led to us winning several hundreds of industry awards, including being one of the best companies to work for in Asia.
From our first-rate workspaces, above-industry-average compensation packages, career opportunities, to our workplace perks, find out what else is in store when you embark on a career with TDCX.
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Product Development, Quality Manager, Database, Data Management, Computer Science, Research, Quality, Technology, Data