Data Science Lead

About Klook

We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences.

Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,300 destinations around the world.

Do you share our belief in the wonders of travel? Our international community of over 1,500 employees, based in 20+ locations, certainly do Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook.

We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our core beliefs - P ush boundaries, A sk For and Give Feedback, T ake Ownership, and H elp Each Other.

We never settle and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution?

About the role
We're looking for a passionate data science leader to spearhead our MarTech initiatives and unlock the full potential of data-driven demand marketing. This role is heavily focused on building and deploying models for predictive and prescriptive analytics, not just descriptive reporting. I.e. Less on descriptive (5-10%), more prescriptive and predictive (> 80%)

What you’ll do:

Meaningfully improve business results by leveraging cutting-edge data science and machine learning techniques

Lead the development and deployment of production-ready ML (predictive/prescriptive) models for tasks:

Automated anomaly detection and root cause analysis for discovered anomalies

Highly accurate forecasting models that combine internal and market demand signals.More accurate forecasting model based on both internal and market demand signals

User search intent understanding and optimal landing page experience matching.Understanding user’s search intent and matching it to the best landing page experience

In-session propensity scoring

Build predictive models and even prescriptive models that deploy to production

Either AWS or GCP

Monitoring of data pipeline and data quality

Monitoring of model drift, if any

A/B different models in production

Translate complex data science concepts into clear, actionable insights for senior management and stakeholders.

Lead and mentor a team of junior analysts and developers

What you’ll need:

Must-Haves:

5+ years of hands-on experience in Data Science and Machine Learning with clear and strong track record of deliverables that improved business outcomes

Proficiency in building and deploying models to production using either AWS or GCP cloud platforms.

Clear communication (in English) and can translate complicated ideas to stakeholders like a 5th grader

Can lead and guide junior developers and budding data scientists

Strong sense of ownership and bias towards action

Nice-to-haves:

Python fluency (+++)

NLP, LLMs including embeddings, vector DBs, and neural nets (++)

Experimentation setup and post mortems both frequentist & bayesian (++)

Another language beyond English