Full Stack Data Scientist

Verihubs; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A leading tech company in Indonesia is looking for a Data Engineer to design and maintain data pipelines and perform data analysis. The ideal candidate has a Bachelor's degree in Computer Science and 2–5 years of experience in data-related roles. Proficiency in SQL and Python is essential, along with familiarity with tools like Airflow and BigQuery. This role will involve collaborating with various teams to translate data insights into actionable strategies.

Qualifications

• 2–5 years of experience in Data Science or Data Engineering.
• Strong analytical skills to translate business problems into data-driven solutions.
• Ability to communicate insights clearly.

Responsibilities

• Design and maintain reliable data pipelines from various sources.
• Conduct exploratory data analysis to uncover insights.
• Work closely with teams to integrate models into production.

Skills

SQL

Python

Data analysis

ETL/ELT processes

Data visualization

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

BigQuery

Snowflake

Redshift

ClickHouse

Job description

About Us

Verihubs is a SaaS (software as-a-service) based company that provides a complete solution for compliance and security for companies' digital businesses in Indonesia. With Verihubs, the customer experience is smoother, operations are more efficient, and data security is maintained because it is technology-based.

Job Description

• Data Engineering & Management: Design, build, and maintain reliable data pipelines from various sources (APIs, databases, logs, etc.); develop and optimize data warehouses for performance and scalability; manage ETL/ELT processes (e.g., Dagster) while ensuring data quality.
• Data Science & Analytics: Conduct exploratory data analysis (EDA) to uncover insights and opportunities; build, evaluate, and deploy statistical or machine learning models for predictive use cases; design and execute experiments (A/B testing, hypothesis testing); visualize results through dashboards and reports (Metabase, Tableau, etc.).
• Collaboration & Implementation: Work closely with product, engineering, and business teams to translate data insights into actionable strategies. You will also integrate models into production; document workflows, experiments, and data models for internal use.
• Data Governance & Optimization: Ensure data security, privacy, and compliance (GDPR, PDP, etc.); monitor pipeline and model performance while continuously iterating for improvement.

Job Requirements

• Bachelor's degree in Computer Science, Informatics Engineering, or a related field.
• 2–5 years of experience in Data Science, Data Engineering, or related roles.
• Strong proficiency in SQL and Python.
• Experience in building and maintaining data pipelines and performing ETL/ELT processes.
• Familiar with tools such as Airflow, BigQuery, Snowflake, Redshift, or ClickHouse (or other columnar databases).
• Strong analytical skills with the ability to translate business problems into data-driven solutions and communicate insights clearly.
• Bonus: Experience deploying models to production using Docker, Kubernetes, or similar tools.