Senior Data Science
Jakarta, Jakarta, Indonesia
Applications have closed
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. Our mission is to empower businesses and professionals to progress effortlessly. Our products (Mekari Talenta, Mekari Jurnal, Mekari KlikPajak, & Mekari Qontak) have been used by tens of thousands of businesses in Indonesia.
To reach millions, we need more people like you: entrepreneurs, builders, owners inside the company who are eager to grow at scale. Join us to empower more businesses with technology.
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:
- 3+ 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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