Senior Data Scientist

It's fun to work in a company where people truly BELIEVE in what they're doing!

‎ 

‎ 

Job Description

Traveloka’s Data Science team seeks a highly experienced Senior Data Scientist to develop and implement data-driven solutions impacting various business areas. This role requires a strong technical foundation in Python, machine learning (scikit-learn, XGBoost, etc.), SQL, and cloud technologies (GCP preferred), coupled with proven project management skills and the ability to translate complex technical concepts for non-technical stakeholders. Experience in credit risk modeling or fraud detection is essential.

The ideal candidate possesses a minimum of 5 years’ experience, a Bachelor’s degree (Master’s preferred) in a relevant field, and exceptional communication and collaboration skills. Experience with deep learning frameworks and team leadership is highly desirable. This is an opportunity to make a significant contribution to a leading travel company, leveraging data to optimize business operations and drive strategic decision-making.

Our data science team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across various domains. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

• Collaborate with multiple business units to understand their challenges and goals.

• Translate business goals into technical requirements and actionable insights

• Develop, implement, and maintain data-driven solutions and systems

• Oversee and manage multiple data science projects, ensuring they meet the business objectives and are delivered on time.

‎ 

Requirements

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Master’s degree or higher preferred.

• Minimum of 5 years experience in data science or a related role.

• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.

• Previous work in credit risk modeling/fraud detection.

• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).

• Proficient in data manipulation and analysis using SQL.

• Experience with Cloud-based tech stack and Docker. GCP will be preferred.

• Proven experience in managing data projects from inception to completion.

• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.

• Proactive, self-motivated, and able to work independently.

Good to Have

• Experience in deep learning frameworks like PyTorch or TensorFlow.

• Experience in leading and mentoring teams.

‎ 

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!