Senior Decision Scientist- Incentives

Bengaluru

Full Time Senior-level / Expert
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Gojek
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and over a dozen services. It is Indonesia’s first and fastest growing decacorn building an on-demand empire.
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About the Role
As a Senior Decision Scientists - Incentives will report to the Head of Data -  Loyalty Partnership and Monetisation (HoD LPM). This role will support various pods across Incentives which include promo & incentive tools, and GoClub. In addition to this,  the role will also partially support other areas covered by HoD LPM which is also a functional leader for consumer science & analytic clusters which include performance marketing, CX, care, identity, etc.  You are expected to help HoD LPM to drive decision science strategies within incentive pods, and in general across consumer related themes. In addition to strategic scope, this role is also expected to help improve technical excellence and standards of decision science practices within consumer science and analytic space.  It is also expected for this role to manage a small team of decision scientists. As a self-starter, you will do this by collaborating with other departments across Gojek to solve some of the most challenging business problems across different product verticals, and directly shape the future of the team and the business. 

What You Will Do

  • Be a thought leader in the incentive space when it comes to scientific decision making; pushing how we use the data to help companies with strategic decisions. Armed with strong domain and understanding and technical data skills, you are expected to be a thought-partner for Gojek’s leaders on those domains. 
  • Helping HoD LPM to drive data (science & analytics) strategies across LPM; also helping to create a compelling roadmap and vision for LPM Data. Expect some amount of people management as well. 
  • Improving the technical excellence (particularly decision science) of data professionals within LPM groups
  • To drive new needle moving initiatives within incentive space (and LPM in general) and to make sure that is executed timely end-to-end. In the incubation phase of these initiatives, expect to be hands-on as well; in general ensuring that the initiatives have all what it needs to move forward. 
  • Overseeing experiments, analysis, and post-activity evaluations to deliver customer insights and drive strategic recommendations for optimizations. 
  • Creating a quantitative framework which can be used to scale the data solutions within the domains.

What You Will Need

  • 8 years of working experience as a decision scientist, with solid understanding of statistics and Machine Learning fundamentals. This experience should include experience with managing at least a small size team (3-4 ppl) and being a part of decision making of strategic science & analytics road-maps in a company
  • A large degree of pragmatism and proven ability to be hands-on when needed. You are expected to understand the data topology within the consumer space; and where to pull the right data to answer some of the most strategic questions within consumer space. 
  • Experience in Python, R, Unix; along with knowledge of good software design principles in creating reproducible analyses which involve processing of large data.  
  • Proven experience in understanding Business needs, formulating quantitative approaches to solve business problems
  • Experience working with relational and non-relational databases
  • Ability to write clear, concise technical documentation
  • Deep knowledge of experimentation and causal Inference Master’s Degree in Statistics, Mathematics, Software Engineering, Computer Science, Information Systems, Business Analytics, similar fields
About the team: 
Loyalty, Incentives, and Monetization (LPM) Data team is distributed across Indonesia, Singapore, and India.The team helps various pods related to engagement & monetisation topics within Gojek. Various teams within LPM group (among others) are CRM, Promo and Incentive Tools, GoClub (Gojek’s loyalty program). In addition to this, the team works very closely with the following teams outside LPM group: product strategy & planning teams, digital marketing, and consumer platform (care, home page, etc.). An example of a problem that we solve includes designing an efficient loyalty program and the best data driven communication channels for our users. Should you have a question about which incentives to offer our customers to keep them engaged in the platform, we are your people! Currently, our team has been busy working on Machine Learning based voucher allocations, which will help Gojek to grow in efficient and scalable manners by recommending which incentives to offer our customers at the right time.We are a tight-knit group made up of crypto-enthusiasts, national badminton champion, youtubers, and movie fanatics!. We work hard and play hard, and believe it or not, we actually enjoy each other’s company!
About Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business and MSMEs.
As of 2021, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
Job perks/benefits: Startup environment
Job region(s): Asia/Pacific
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