Senior Data Scientist - CAST Groceries

Jakarta

Full Time Senior level / Expert
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Posted 1 month ago

About the Role
As our Senior Data Scientist, you'll be an instrumental cog in the Centralised Analytics and Science Team (CAST) team that builds smart data products for Gojek. You'll give to dive deep and mine insights from a sea of data in order to design and build ML-powered data products. More specifically, you'll get to take charge of building a more personalized and recommendations-based Grocery platform. A talented troop of business leads, analysts, and scientists will be your companions on this ride. You'll get ample opportunity to flex your DS skills, better positioning Groceries as the leading food delivery platform in the region and beyond.

What You Will Do

  • Build models (or ML models) that generate or lead to the answer to some of the most challenging questions we have
  • Productionize models that deliver a personalized experience via search engine and grocery
  • Own the data science product roadmap for the search and recommendation stream
  • Automate your work
  • Own Data science projects from inception to deployment via our own internal tools
  • Partner with the business to deliver high impact
  • Be a technical leader in the CAST team, supporting other and enabling them to perform better

What You Will Need

  • At least 5 years of practical experience using Python/R, shell scripting, & SQL
  • Impact-driven and focused on driving key business metrics
  • Prior experience with applied statistics, experimental design, machine learning, and Git version control is a must
  • Experience with experimenting on different modeling techniques (supervised and unsupervised learning) and developing data visualization for data stories
  • Experience bringing models to production and delivering models via API and CI/CD
  • Able to recognize business needs and ability to communicate with multiple stakeholders including PMs, business and operations
  • Able to work independently and collaboratively in an interdisciplinary team environment
About the Team
Our CAST (Centralised Analytics and Science Team) squad currently consists of 25 data scientists, analysts, and decision scientists based in Jakarta, Bengaluru, and Singapore. As a data team, we are in charge of the data aspects of multiple products and platforms: from our Groceries service, to the Gojek home screen, and various other communication platforms in our ecosystem. It’s our job to ensure that our Gojek products and services run seamlessly by providing data solutions to any issues or developments that arise. At all times, we are solving big questions from marketing to customer experience. 
As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. With WFH becoming more normalized, you best believe we’ve been sharing our favorite ways to prioritize a healthy work-life balance at home. Along with diving deep into data projects, our team bonds over our shared love of mobile games, or binging the latest Netflix shows.

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 2018, 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 tags: Machine Learning Marketing ML Python R SQL
Job region(s): Asia/Pacific
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