Senior Data Science

Jakarta, Jakarta, Indonesia

Mekari

Transformasi bisnis Anda dengan software terintegrasi Mekari. Efisienkan proses bisnis & tingkatkan produktivitas karyawan Anda sekarang!

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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

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* 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

Region: Asia/Pacific
Country: Indonesia
Job stats:  4  2  0

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