Description

Maltem is a community of 1,200+ passionate individuals dedicated to innovation, new technologies, data, and digital transformation projects.

Founded in 2001 and located in 11 different countries, our footprint covers France, Singapore, Hong Kong, Vietnam, Luxembourg, Belgium, Madagascar, Morocco, US, Canada, and Australia. Our expertise consists of 18 years of market knowledge into the business organization, digital practices, agile, data management, and innovation.

Our Australian operations are growing rapidly, and we are partnering with local blue-chip and multinational companies on truly transformational engagements

About the Opportunity

We are looking for experienced data scientists to work on a range of projects for our clients.

You'll need to have at least three to five years' corporate experience in data science roles. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and the ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

The role is suitable for a highly creative Data Scientist with hands-on experience building and enhancing statistical, quantitative, or machine learning models on an end-to-end project. You will be well-developed in analytical knowledge across data mining, data modeling, data transformation, and data visualization.

Responsibilities

• Analyze raw data: data cleansing and data structuring for downstream processing
• Design and build statistical predictive models and machine learning algorithm
• Collaborate with the data engineering team to productionise the model
• Generate actionable and predictive descriptive insights that drive business value

Qualifications

• At least 3 to 5 years of experience in quantitative analytics within the corporate sector
• A relevant degree in a quantitative field (Actuarial Studies, Statistics, Mathematics, etc)
• Deep understanding of predictive modeling and machine-learning algorithms (GLM, Decision Trees, Clustering, Random Forest, GBM, etc)
• Experience in other mathematics focus areas such as optimization, time-series forecasting, next-best-action, or personalization
• High business acumen to interpret complex technical data and present results to business stakeholders
• Fluency in R coding
• Proficiency in SQL within data warehouse ecosystem (Hadoop, Oracle, SQL Server, Teradata, etc)
• Familiarity with cloud environments such as Azure ML or AWS SageMaker is an advantage

Why join us?

Being part of our Data & Analytics community means that we will gather quite often.

The key elements of our community are :

• Quarterly dedicated time to co-create the future of work/the future of Maltem and our practice(s)
• You will have the opportunity to have a mentor in this adventure
• You’ll have the opportunity to co-create meet-ups/events
• We will invest in your training with the willingness of empowering our community
• A huge yearly gathering event
• A daily group to share and stay in touch

We are looking to go beyond expectations and shape the future of work by working with passionate, skilled, and energetic people both on the support and delivery side.