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SGD 7000-13000 per MONTH


Singapore, , Singapore

Company Description

Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 875 customers, ranging from the world's largest pharmaceutical companies to emerging biotechs. Veeva is headquartered in the San Francisco Bay Area, with offices in Canada, Europe, Asia, and Latin America. Veeva is growing to 10,000 employees by 2025, so visit the Jobs section for open positions and remember that correspondence to new applicants and existing candidates will only come from an official email address.

Job Description

    Data & Analytics in the Asia Pacific is a new Veeva venture with the aim of using Advanced Analytics and Machine Learning to help Life Sciences improve healthcare engagement and patient outcomes. If you are excited about building a new offering in a start-up environment, developing and scaling analytics solutions, and working with a diverse, international group of expert colleagues, then this role could be right for you.
    The Data Scientist will establish the big data environment for the data analytic team and apply advanced data science, ML, and big data techniques to build different analytical models e.g. sales forecast model, causal inference, etc to support business decisions.
    This is a great opportunity for natural problem-solvers who are seeking a fast-paced, agile work environment. We care about a great cultural fit. You should enjoy working quickly in multicultural teams. If you are excited about data, life sciences, and working for a fast-growing tech company, we are an optimal fit.

    What You’ll Do

      • Design, and build data pipelines to support the Commercial Analytics Consultant, machine learning models, and all data-driven products
      • Develop and maintain data storage systems including data warehouse and data lakes
      • Apply ML algorithms to mine insights from diversified datasets
      • Deploy ML models
      • Work with the analytics consulting team to understand business requests and translate them into data engineering and data scientist solutions
      • Documentation of all tech designs


      • 2+ relevant working experiences
      • Experience with cloud-based data storage and computing platforms such as AWS, Google Cloud, or Azure
      • Proficiency in Python or Java, and experience with big data technologies such as Hadoop, Spark, or Kafka
      • Knowledge of database technologies such as SQL
      • Experience with ETL tools and techniques
      • Practical expertise in machine learning, statistical modeling
      • Experience with model deployment and pipelines

    Nice to Have

      • Certification in ML systems for Azure or AWS or GCP
      • Knowledge of database technologies such as NoSQL, and graph databases

    Perks & Benefits

      • Health & Medical Benefits
      • Flexible Personal Development Benefits
      • Wellness Program
      • Veeva Giving 

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