Job Description

Responsibilities

• Analyse big data, interpret findings, and provide customer insight and intelligence to project managers and business managers; put in place metrics and dashboards for data science activity to give visibility
• Synthesise information from different touchpoints and data sources, analyse data, translate findings into actionable insights
• Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation and optimisation to improve healthcare delivery and customer engagement
• Institute and adopt best practices in data science, platforms, and approaches
• Establish internal organisational standards and benchmarks
• Design and develop data warehouses to support dashboards and reporting
• Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business and data architecture rules
• Ensure compliance with PDPA and other clinical governance policies and IT security standards
• Prepare project plans and provide status updates
• Other ad-hoc administrative work, as assigned by Managing Director

Requirements

• Must possess at least a Bachelor’s or Master’s Degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, Econometrics, or related field
• At least 3 years of working experience in related field or position
• Demonstrate expertise in developing and implementing a full range of analytical techniques and methodologies to address commercial and healthcare challenges; excellent proficiency in at least one statistical analysis package (e.g. R, SPSS, STATA, SAS)
• Demonstrate experience with distributed databases and query languages; proficiency in at least one programming language (e,g, Java, C++)
• Exceptional judgement to identify core objectives, synthesise and interpret disparate quantitative and qualitative information, develop meaningful insights for dissemination to key stakeholders
• Strong Excel skills
• Excellent English and interpersonal communication skills; able to work in multidisciplinary team
• Software repo, portfolio, or sample a strong plus
• Strong project management and time management skills
• Willing to take on varied challenges related to the healthcare and aged care industry

Other Information

• Office is located in Central Singapore
• 5-day work week, Mondays to Fridays
• Benefits include medical, dental, maternity, “Ageility Care” (for parents), wellness, and more
• Meaningful work, great learning opportnities and career progression

To apply, e-mail us at hr@pulsesync.com with your CV and the subject line “Data Scientist”.