Senior Data Scientist - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

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Description

Job Summary:

Salary
S$7,75- S$11,973 / Monthly EST

Job Type
Permanent

Seniority
Senior

Years of Experience
At least 4 years

Tech Stacks
Analytics R Databricks PowerBI Azure SQL Python

Get to know the team

We focus on humanizing big data, bridging the technical and operational sides of the business, and using data to align product development with strategic goals.

If you like a good challenge and love to find new ways of interpreting data then you're a perfect fit.

The Product Analytics team advances product innovation with analytics and experimentation best practices. We help ship a large number of features every week and that means instrumentation to track relevant events, running thousands of experiments evaluating changes weekly.

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Get to know the role

We are looking for a Senior Data Scientist (Analytics) - Search and Personalisation with great analytical and communication skills to help product teams be more data-driven and objective and guide the design of controlled experiments.

You will learn how to thrive in ambiguity, and should have proven experience in analytics and in managing multiple stakeholders, and should have a passion for solving complex problems.

You will work with engineers, designers, and product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them, and iterate on the next set of products to build for our users.
This role is required because of the rapid pace at which Grab is building a robust content ranking and search ecosystem and we believe the only way to do this effectively is by making fast datadriven decisions. While being able to influence key product decisions with your analytical rigor, you will also get an opportunity to learn what it takes and experience firsthand building great products.

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The Day-to

Day Activities
Understand business objectives and deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
Use data to identify trends, spot anomalies and delve deeper into their root causes
Use statistical techniques to interpret data and analyze results
Discuss and align with stakeholders on key product metrics, design and propose experimentation strategies
Collaborate and coordinate with crossfunctional teams to implement models and insights, and monitor outcomes
Launch A/B tests, analyze experiment results and provide recommendations
Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection
Develop and maintain data pipelines to fulfill product reporting requirements
Identify frequently occurring hypotheses and problem statements that can be generalised into common patterns. Develop scalable analytical frameworks and solutions to allow for solving repetitive problems in a more efficient manner
Rolemodel high standards of rigour in how we do measurements, experimentation, analyses and recommendations. Safeguard the integrity of how data is used and understood to ensure we maintain objectivity in our reasoning, actions and decision making
Evaluate the feasibility of developing new products, participate in user researches to validate customer problems
Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes

Qualifications

The Must-Haves

At least 4+ years of experience working in datarelated and/or quantitative fields, including but not limited to Analytics and Applied Data Science, and/or Statistics/Math
Fluent with SQL, Python, R or other scripting/programming languages to problemsolve. Experienced with working with very large datasets
Strong data visualization and storytelling skills. Experience in creating dashboards using Tableau or other visualization tools. Knowledge of Azure toolstack (Databricks, PowerBI, Azure Data Explorer) will be a plus
Selfmotivator and an ability to learn independently
Ability to deliver on tight timelines and move quickly with crossfunctional teams to partner or lead decisionmaking while maintaining high attention to detail
A culture role model of our 4Hs: Honour, Humility, Hunger and Heart

The Nice-to-Haves

Relevant industry experience (preferably in an Internet or 'Direct to Consumer' company with high velocity data and scaled controlled experiments) and/or prior experience with Product Management or businessfacing operations will be a plus
Experience with designing and concluding controlled A/B experiments
Prior experience with supervised (eg : predictive modeling regressions/classifications) and unsupervised (eg : clustering, segmentation) ML algorithms

Additional Information

Benefits at Grab:

Benefits
We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits