Thakral One

Data Scientist Analyst (ID)

Thakral One · Special capital Region of Jakarta, Java, Indonesia

IT Services and IT Consulting · 501-1,000 employees

2 d ago
Senior (5-10 yrs) Contractor Indonesia
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About the role

Transform complex datasets into actionable insights to drive business growth and enhance portfolio performance. Develop analytical solutions, monitor spending trends, and provide data support for card campaign design and tracking.

What they look for

Data Exploration Feature Engineering Statistical Modelling Campaign Analytics Python SQL Power BI Gradient Boosting Linear Regression Logistic Regression Decision Trees Clustering Data Storytelling MS Excel MS PowerPoint Stakeholder Management

Requirements

Requires a degree in a quantitative field and at least 5 years of experience in data exploration and feature engineering. Proficiency in Python, SQL, Power BI, and various statistical modelling techniques is essential.

Full description

As a Data Scientist, you will transform complex datasets into actionable insights that drive business growth. You will work across data exploration, feature engineering, statistical modelling, and campaign analytics, collaborating with stakeholders to deliver data‑driven strategies that enhance portfolio performance and customer engagement.

What You'll Do and How You'll Succeed

  • Develop project scopes, methodologies, and analytical solutions using appropriate tools and techniques.
  • Ensure quality control and maintain up‑to‑date documentation for all data science projects.
  • Monitor client portfolio growth data, analyse spending trends, and identify new opportunities using non‑traditional data sources and advanced modelling techniques.
  • Provide data support for card campaign design, including customer tiering, Test & Control setup, campaign targeting, and performance tracking.
  • Track and benchmark portfolio dashboards, analyse market segments and channel opportunities, and provide insights to optimise ongoing and tactical campaigns.
  • Manage communication effectively with clients and stakeholders to ensure clarity, alignment, and impact.

We'd Love to Hear From You If

Experience

  • You hold a degree in Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or another quantitative field.
  • You have at least 5 years of experience in data exploration and feature engineering.
  • You understand local market conditions and industry regulations.
  • A master's degree is an advantage.

Technical Expertise

  • You are proficient in statistical techniques such as Gradient Boosting, Linear and Logistic Regression, Decision Trees, and Clustering.
  • You are skilled in Python, SQL, and Power BI for data analysis and management.
  • You can translate complex datasets into clear, actionable insights for business improvement.
  • You are strong in data storytelling and presentation, with proficiency in MS Excel and MS PowerPoint.

Ways of Working

  • You manage stakeholders collaboratively, diplomatically, and flexibly.
  • You communicate complex ideas effectively, both verbally and in writing.
  • You stay informed about macro trends in payments, banking, and financial services to support value proposition development (nice to have).

Assignment Details

  • Employment Type: Project-Based (12 months)
  • Location: Indonesia