Artificial Intelligence And Machine Learning (AI/ML) Engineer

Location Singapore
Discipline: Data Science
Job type: Permanent
Contact email:
Job ref: 267587
Published: 3 months ago

Company: SPH

The Daily

  • Apply supervised and unsupervised machine learning techniques, such as linear and logistic regression, decision trees, and k-means clustering, ensemble models, Neural Networks

  • Develop analyses segmentation, propensity models, KPI deep dives, marketing efficiency, behavioural clustering, customer lifetime value and customer journey analytics.

  • Curate audiences and inform engagement tactics to enable differentiated, relevant marketing touches across CRM channels (email, in-app, push).

  • Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences.

  • Capture business requirements for data and analytic solutions and collaborate with the Marketing team to ensure business requirements align with business needs.

  • Analyze content promotions and surface insights that will help drive viewership and a more loyal customer base.

  • Support day-to-day collaboration with Marketing to communicate insights and recommend data-informed strategies

Job Requirements

  • Experience in Python

  • Experience in working with large datasets with statistical analysis

  • Capability to identify and troubleshoot potential Business issues

  • Experience in Data Science/Machine Learning

  • Familiarity with a broad set of modelling techniques; aptitude in mathematics, probability, algorithms, experimentation methods, hypothesis testing

  • Hands-on programming/implementation ability in R/Python/Java, NO-SQL DB s 

  • Knowledge of  Big Data Tools: Real-Time streaming engines, Messaging Queues, Hadoop, PySpark ( added advantage)

  • Prior experience working any cloud infrastructures such as AWS, GCP, Azure

  • Ability to write production-level code and experience pushing machine learning models to production

The Essentials

  • 3+ years of experience building data science models (Regression, Decision Trees, K-Means, ensemble models, Neural Networks, etc.).

  • 3+ years of hands-on experience with commercial applications of machine learning

  • Hands-on experience with Text mining and Computer vision techniques

  • Experience with large data sets and analytical tools.

  • Proficiency in scripting languages (SQL, Python, R, etc.).

  • Knowledge of a dashboarding language (Tableau, Looker, etc.) or equivalent report building experience not required but a plus Other desired qualifications: - Strong curiosity, leadership and business acumen.

  • Passionate about using data to drive strategy and product recommendations.

  • Experience in Media company, subscription-based businesses or eCommerce preferred.

  • In-depth knowledge of statistics and machine learning algorithm

  • Curious and careful about the business impact of their work

  • Able to work collaboratively and proactively alongside scientists, engineers, and analysts

  • Experience in deep learning, causal inference, uplift modelling, or econometrics is a bonus

  • Good Python programming skills, intimate with the Python data science stack

  • Knowledge of best practices for software development and data organization, and pleasure in working in an open-source environment (Github is at the core of our workflow)

  • Participate in data architecture decisions and partner with technology teams to implement models/algorithms in the production

  • Manage the continuous improvement of data science and analytics by researching industry best practices and staying up-to-date on analytical practices

  • Integrate data science solutions into current business processes

  • Experience with Microservices and model production with Containers (like Docker) will be advantageous