Senior Data Scientist, Analytics — FinTech Lending

PT Solusi Transportasi Indonesia; Jakarta Utara; On-site; IDR 35,000,000 - 55,000,000; Full time

Job summary

Grab is seeking a Senior Data Scientist (Analytics) to drive data-driven decisions across Lending. You will partner with product, business, UX, and engineering teams to uncover insights, design experiments, and influence the product roadmap.

You will champion data-driven decision-making and lead analytic projects from hypothesis to impact, reporting onsite in the Jakarta South Quarter office. Ideal candidates have 4+ years in analytics or data science, strong SQL, Python, and data visualization

Qualifications

• At least 4 years of experience in Analytics, BI, or Data Science in Tech (FinTech or E-Commerce).
• Bachelor's degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related field.
• Proficient in writing advanced SQL queries and querying large relational databases.
• Hands-on experience with data analysis and programming tools such as Python.
• Skilled in data visualization platforms like PowerBI or D3.js to present findings.
• Experience designing, running, and analysing A/B tests and product experiments, with knowledge of hypothesis testing and DOE.

Responsibilities

• Partner with product, design, and engineering teams to derive insights, design experiments, and drive key product decisions.
• Support strategic plans with data insights, performing deep-dives into user behaviour, segmented views and product efficacy.
• Provide tailored analysis for specific products and strategies, define critical business and product metrics, and propose continuous improvements.
• Design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
• Analyse clickstream and transactional data to uncover insights on user behaviour and drive product metrics; manage instrumentation for feature releases within GFin.
• Develop self-serve solutions for stakeholders that are scalable and automated to handle a product environment, including plans involving AI.

Skills

Advanced SQL

Python

A/B testing

Data visualization

Education

Bachelor's degree in Statistics/Analytics/Economics/Mathematics/Engineering

Tools

PowerBI

D3.js

Job description

Grab is seeking a Senior Data Scientist (Analytics) to drive data-driven decisions across Lending. You will partner with product, business, UX, and engineering teams to uncover insights, design experiments, and influence the product roadmap.

You will champion data-driven decision-making and lead analytic projects from hypothesis to impact, reporting onsite in the Jakarta South Quarter office. Ideal candidates have 4+ years in analytics or data science, strong SQL, Python, and data visualization