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Open nowPosted today

Senior Data and AI Engineer

RANDSTAD PTE. LIMITED

Pay
SGD 5,000 – SGD 7,500 a month
Where
Central, Singapore
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Your applicationOpen nowSenior Data and AI EngineerRANDSTAD PTE. LIMITED · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on RANDSTAD PTE. LIMITED's own form.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

The posting

About the Company

I am currently working with a leading global biopharmaceutical organization with a strong regional footprint across the Asia-Pacific healthcare market. They operate across the entire commercial value chain, leveraging research, manufacturing, and analytics to deliver innovative therapeutic solutions and improve patient outcomes.

About the Job

  • Lead the design, development, and maintenance of scalable ETL data pipelines, extracting data from diverse sources (ERP, CRM, e-commerce) into centralized cloud and on-premise warehouses.
  • Design, develop, and deploy AI and machine learning models into production to drive commercial initiatives like sales forecasting, customer segmentation, and pricing optimization.
  • Manage regional master data and establish robust data governance frameworks to ensure data accuracy, security, and compliance across omnichannel touchpoints.
  • Drive data engineering initiatives using Agile frameworks, taking end-to-end ownership of pipeline monitoring, troubleshooting, and continuous optimization.
  • Utilize a modern tech stack including SQL, Python, R, and major cloud platforms (AWS, GCP, or Azure) to optimize infrastructure and handle high-volume datasets.
  • Partner closely with cross-functional commercial teams to translate complex business requirements into actionable analytics that support business growth and profitability.

Skills and Requirements

  • Bachelor's degree in Data Science, Business Analytics, Mathematics, or a related quantitative field with 3 to 5 years of hands-on data engineering experience.
  • Strong technical proficiency in SQL, Python, and R, coupled with practical knowledge of cloud-based data platforms (AWS, GCP, or Azure) and on-premise infrastructure.
  • Ability to process datasets in Mandarin and collaborate effectively with stakeholders in Chinese markets.
  • Exceptional communication and problem-solving skills, with a proven ability to translate complex technical concepts and data insights to non-technical business leaders.
  • Prior experience or knowledge regarding supply chain management processes; exposure to pharmaceutical or healthcare industry regulations is a strong plus.
  • Detail-oriented and adaptable, with a strong track record of producing comprehensive technical documentation (architecture diagrams, data dictionaries) in a fast-paced environment. To apply online please use the 'apply' function, alternatively you may contact Sophia Lim at 9248 7488. (EA: 94C3609/ R26163753 )

Posting text belongs to the employer. Removal requests: contact us.

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