Senior Data Scientist, Product Analytics — FinTech

Grab; Jakarta Pusat; Sur place; IDR 350 000 000 - 550 000 000; Plein temps

Avantages offerts par ce poste

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

Flexible hours

Résumé du poste

GrabFin Analytics is seeking a Senior Data Scientist (Analytics) to partner with product managers and cross-functional teams to translate questions into hypotheses and experiments. You will uncover user insights, quantify impact, and guide product decisions with evidence.

You will design analytics solutions across Payments, Lending, Insurance, and Kios, build dashboards to monitor performance, and apply NLP/LLM techniques to extract actionable business insights.

Qualifications

• Bachelor's degree in Analytics, Statistics, Engineering, or related field.
• 2+ years in analytics, BI, or data science in high-velocity environments.
• Proficient with Spark, PySpark, Databricks; SQL and Power BI; Snowflake and multidimensional modeling.

Responsabilités

• Partner with cross-functional teams to define data requirements and build analytical solutions.
• Perform in-depth analyses of operational data, including business impact and text analysis.
• Develop dashboards to monitor Grab Support operations and performance.
• Apply advanced statistics and ML techniques, NLP & LLM, to derive insights and mitigate risks.
• Stay abreast of analytics trends to enhance data-driven capabilities.
• Collaborate with data engineering to ensure data quality and build data pipelines.
• Communicate findings to stakeholders via reports, presentations, visuals.

Connaissances

Analytics

Spark

PySpark

Databricks

SQL

Power BI

Data Visualization

Formation

Bachelor's degree in Analytics/Statistics/Engineering

Outils

Snowflake

MD Modeling

Description du poste

GrabFin Analytics is seeking a Senior Data Scientist (Analytics) to partner with product managers and cross-functional teams to translate questions into hypotheses and experiments. You will uncover user insights, quantify impact, and guide product decisions with evidence.

You will design analytics solutions across Payments, Lending, Insurance, and Kios, build dashboards to monitor performance, and apply NLP/LLM techniques to extract actionable business insights.