Total 2 science job vacancies in Business Management / Project / Planning category in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

• Project Administrator
• Work location: Science Park
• Mode: Contract 1 yr renewable

Job requirements:

• Screen candidates by reviewing resumes
• Coordinate & follow-up the overall interview, selection, and closing process
• Ensure all screening, hiring, and selection is done in accordance with employment laws and regulations
• support the operation of the Technical Training department by assisting with administrative tasks, coordinating training schedules, maintaining records, and liaising with internal and external stakeholders.
• other admin PMO related tasks or adhoc task
• Diploma / Bachelor's Degree in Human Resources, Business Administration, or related field
• 2 to 3 years of recruiting experience in IT Field
• Ability to communicate effectively, both orally and in writing
• Demonstrated ability to establish effective and cooperative working relationships built on trust
• Excellent organizational and time management skills
• Ability to manage a wide range of relationships with a variety of stakeholders
• Proficient in Microsoft Office
• Working knowledge of interview techniques and applicant screening methods
• Deep understanding of employment laws and regulations

Interested applicants please send resume to [email protected] for a faster respond.

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.