Senior Data Scientist
Jakarta, Jakarta, Indonesia
Mekari
Transformasi bisnis Anda dengan software terintegrasi Mekari. Efisienkan proses bisnis & tingkatkan produktivitas karyawan Anda sekarang!Location: Jakarta,Jakarta,Indonesia
Mekari is Indonesia's no. 1 Software-as-a-Service (SaaS) company. With our ecosystem of software solutions—including Mekari Jurnal, Mekari Talenta, Mekari Qontak, and Mekari Flex, we aim to facilitate entrepreneurs and leaders as they accelerate the digital transformation of their businesses.
In our 10+ years of journey we have reached over 1 Million platform users, and we're not planning to stop any time soon. We need more people like you: builders and owners with calculated ambition who are eager to grow and create their #BiggestImpact.
Job Descriptions:
- Oversee 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
- Maintaining the performance of our data analytics platform to ensure accurate, reliable, and timely delivery of key insights for decision making.
- Collaborate with data scientists, data scientists, and business process owners in order to provide them with needed data and infrastructure.
- Mentoring junior data engineers in day-to-day operations to improve team quality.
- Utilize data to provide predictive & prescriptive insights to internal Mekari and end-customers through data products.
Requirements/Qualifications:
- 2+ years of experience in building usable machine learning product for end user
- 2+ years of experience doing quantitative analysis within a large-scale company or fast-paced environment, using SQL and Python
- Bachelor/Master Degree in Computer Science, Math, Physics, Engineering, or related quantitative field
- Experienced in building usable machine learning model for production
- Experienced in a scalable customer-facing ML system
- Experienced on working with multiple cross-functional partners and influence decision making based on data
- Familiarity with AWS’ ML environment such as Sagemaker
- Have an excellent communication skill to articulate ml-approach solution to stakeholders across division
Working arrangement: Hybrid
Office location: Mid Plaza, Sudirman, Jakarta
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data Analytics Engineering Machine Learning Mathematics Physics Python SageMaker SQL
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