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Are you a self-motivated and independent learner? | Join us as our Associate Data Scientist NOW!

Associate Data Scientist (Lifecycle Marketing)
Full-time

on 2018-10-04

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23 requested to visit

Are you a self-motivated and independent learner? | Join us as our Associate Data Scientist NOW!

Full-time
Full-time

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What we do

Grab is one of Southeast Asia’s leading superapp that provides everyday services such as mobility, deliveries (food, packages, groceries), mobile payments and financial services to millions of Southeast Asians. Grab aims to use technology to empower its communities and elevate the quality of life for everyone.

Why we do

Mission 1. Trust that you will have a safe ride Travel with confidence knowing that Grab’s top priority is your safety. From driver safety training and vehicle safety checks, to personal accident insurance coverage for all our drivers and passengers and government partnerships to promote safety, you know we have your back. 2. Take the transport option that fits your need We put freedom in your hands. The most transport options, at every price point, with comfort, speed and affordability – you can have it all at the touch of a button. 3. Let us take care of you We believe that a sustainable business is one that improves the lives of the people it touches – passengers, drivers, employees, governments and society at large.

How we do

Life at Grab is all about positive disruption – and yes, crazy days are part of that package too. Still, that’s never stopped a Grabber from having fun. In fact, it’s what keeps us motivated to shake things up further. Life as a Grabber means succeeding in a culture of passion and innovation. We are hungry to make a difference, and recognise that good decisions often come from the heart. We are humbled by our communities, and are proud to serve them with honour. We come from all over the world, united by a common goal to make life better everyday for our users. If you share our mission of Driving Southeast Asia Forward, apply to be part of the team today!

As a new team member

We are looking for scientists who are passionate about data and want to apply advanced AI/ML techniques to solve real-world problems. Our team identifies and solves real-time and large-scale Marketplace Marketing problems using a combination of multiple Data Science techniques. In this role, you will be expected to: ● Able to execute independent as well as group initiatives and communicate problem formulation, solution, analysis, and insights to wider team members and stakeholders ● Conceptualise Machine Learning framework and architecture to address core marketing challenges such as Channel Behaviour measurement (Including SMS, Push, In-App, Email, Social), User Onboarding, Customer churn, Cross-sell, Upsell ● Conceptualise and develop machine learning models to Support Customer lifecycle Analytics across Rides, Food and Fintech ● Deep dive into data to conduct Business Insights, advanced statistical analysis and incorporate machine learning and optimization algorithms and simulate their impact on the overall system ● Develop and execute necessary analyses or A/B tests to validate Experiments, models, and perform detailed analysis to identify improvement opportunities ● Effectively conceptualize analyses and present across business stakeholders and country marketing teams. Work independently or in a team to solve complex problem statements ● Build, validate, test, and deploy models and algorithms using proven and experimental techniques ● Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them The must haves: ● Masters Degree or Ph.D. in Economics, Mathematics, Operations Research, Data Science, Interdisciplinary Engineering, Computer Science, with specialization in Machine Learning, User Behaviour or Optimization techniques. Bachelors degree with strong experience in related marketing area can also apply ● Minimum 2-4 years of relevant post-degree experience in solving large-scale complex problems, especially in Online Marketplaces, transport or logistics business ● Proficient in traditional RDBMS Such as SQL, Writting ETL jobs, and No-SQL database systems; programming languages like R, Python, SAS; and distributed computing platforms like Hadoop and Spark ● Good knowledge in Supervised, Unsupervised and Reinforcement learning/algorithms ● Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment ● Self-motivated, independent learner, and enjoy sharing knowledge with team members ● Develop and execute necessary tests and analyses to validate models, and perform detailed analysis to flag out vulnerabilities and improvement opportunities ● Visualise simulation results in a manner that facilitates the required analyses ● Able to present complex subjects clearly and coherently to non-domain experts ● Experience in working with Digital/Mobile Marketplaces with Customer lifecycle data, geospatial and mobility data is a plus If you share our vision of driving South East Asia forward, apply to join our team today. Simply click on "Want To Visit" and remember to brush up your Wantedly profile.

What we do

Grab is one of Southeast Asia’s leading superapp that provides everyday services such as mobility, deliveries (food, packages, groceries), mobile payments and financial services to millions of Southeast Asians. Grab aims to use technology to empower its communities and elevate the quality of life for everyone.

Why we do

Mission 1. Trust that you will have a safe ride Travel with confidence knowing that Grab’s top priority is your safety. From driver safety training and vehicle safety checks, to personal accident insurance coverage for all our drivers and passengers and government partnerships to promote safety, you know we have your back. 2. Take the transport option that fits your need We put freedom in your hands. The most transport options, at every price point, with comfort, speed and affordability – you can have it all at the touch of a button. 3. Let us take care of you We believe that a sustainable business is one that improves the lives of the people it touches – passengers, drivers, employees, governments and society at large.

How we do

Life at Grab is all about positive disruption – and yes, crazy days are part of that package too. Still, that’s never stopped a Grabber from having fun. In fact, it’s what keeps us motivated to shake things up further. Life as a Grabber means succeeding in a culture of passion and innovation. We are hungry to make a difference, and recognise that good decisions often come from the heart. We are humbled by our communities, and are proud to serve them with honour. We come from all over the world, united by a common goal to make life better everyday for our users. If you share our mission of Driving Southeast Asia Forward, apply to be part of the team today!

As a new team member

We are looking for scientists who are passionate about data and want to apply advanced AI/ML techniques to solve real-world problems. Our team identifies and solves real-time and large-scale Marketplace Marketing problems using a combination of multiple Data Science techniques. In this role, you will be expected to: ● Able to execute independent as well as group initiatives and communicate problem formulation, solution, analysis, and insights to wider team members and stakeholders ● Conceptualise Machine Learning framework and architecture to address core marketing challenges such as Channel Behaviour measurement (Including SMS, Push, In-App, Email, Social), User Onboarding, Customer churn, Cross-sell, Upsell ● Conceptualise and develop machine learning models to Support Customer lifecycle Analytics across Rides, Food and Fintech ● Deep dive into data to conduct Business Insights, advanced statistical analysis and incorporate machine learning and optimization algorithms and simulate their impact on the overall system ● Develop and execute necessary analyses or A/B tests to validate Experiments, models, and perform detailed analysis to identify improvement opportunities ● Effectively conceptualize analyses and present across business stakeholders and country marketing teams. Work independently or in a team to solve complex problem statements ● Build, validate, test, and deploy models and algorithms using proven and experimental techniques ● Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them The must haves: ● Masters Degree or Ph.D. in Economics, Mathematics, Operations Research, Data Science, Interdisciplinary Engineering, Computer Science, with specialization in Machine Learning, User Behaviour or Optimization techniques. Bachelors degree with strong experience in related marketing area can also apply ● Minimum 2-4 years of relevant post-degree experience in solving large-scale complex problems, especially in Online Marketplaces, transport or logistics business ● Proficient in traditional RDBMS Such as SQL, Writting ETL jobs, and No-SQL database systems; programming languages like R, Python, SAS; and distributed computing platforms like Hadoop and Spark ● Good knowledge in Supervised, Unsupervised and Reinforcement learning/algorithms ● Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment ● Self-motivated, independent learner, and enjoy sharing knowledge with team members ● Develop and execute necessary tests and analyses to validate models, and perform detailed analysis to flag out vulnerabilities and improvement opportunities ● Visualise simulation results in a manner that facilitates the required analyses ● Able to present complex subjects clearly and coherently to non-domain experts ● Experience in working with Digital/Mobile Marketplaces with Customer lifecycle data, geospatial and mobility data is a plus If you share our vision of driving South East Asia forward, apply to join our team today. Simply click on "Want To Visit" and remember to brush up your Wantedly profile.
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    What happens after you apply?

    1. ApplyClick "Want to Visit"
    2. Wait for a reply
    3. Set a date
    4. Meet up

    Company info

    Founded on 06/2012

    6,000 members