Mekari is Indonesias no. 1 Software-as-a-Service (SaaS) company. Our mission is to empower businesses and professionals to progress effortlessly. Our products (MekariTalenta Mekari Jurnal Mekari KlikPajak Mekari Qontak Mekari Flex & Mekari Sign) have been used by tens of thousands of businesses in Indonesia.
To reach millions we need more people like you: entrepreneurs builders and owners inside the company who are eager to grow at scale. Join us to empower more businesses with technology.
Job Descriptions:
- Identify business questions apply advanced analytics to answer them and articulate the answers.
- Partner with teams across divisions such as Commercial Product etc to solve problems and identify trends and opportunities.
- Engage with stakeholders across the organization to identify challenges in which advanced analytics will have the greatest impact then implement it.
- Perform advanced analytics to generate insights and recommendations to support the business/product in decision-making.
- Initiate drive and lead cross-functional projects involving advanced analytics.
- Contribute in defining the analytical direction of Mekari.
- Research and develop analysis forecasting and optimization methods to solve questions & challenges in Mekari.
- Utilize data to provide predictive & prescriptive insights to internal Mekari and end-customers through data products.
Requirements/Qualifications:
- Minimum 2 years of experience in building usable machine learning products for end user
- Bachelor/Masters Degree in Computer Science Math Physics Engineering or a related quantitative field
- Experienced in building usable machine learning models for business use cases
- Experienced in executing decision-making based on data
- Familiarity with AWS ML environment such as Sagemaker
- Excellent communication skills to articulate ml-approach solutions to stakeholders across division
Working Arrangement: Hybrid.
Office location: Sudirman Jakarta Indonesia.
Our team will review your application and will be in touch if your application is shortlisted to the next stage. If you do not hear from us in 30 days we will keep your resume on file in case a relevant opportunity opens up.