Senior Data Scientist- Marketplace


Full Time Senior level / Expert
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Posted 3 weeks ago

About the Role
They say no man is an island - a notion that holds particularly true for this role. As our Senior Decision Scientist, you will be making ambiguous decisions with models through various statistical techniques to help pilot our next steps forward. You'll take the wheel in utilizing various quantitative techniques, such as Machine Learning, Optimization, Simulation, and Bayesian Techniques, to drive asymmetric values for our business at Gojek. The folks over at the Data Science Platform team will be your companions during this ride, as they help to bring your models to production. Best yet, you’ll have ample opportunity to flex and hone in on your skills in ideation, research, and building prototypes.

What You Will Do

  • Design and analyze experiments
  • Perform exploratory data analysis using SQL and R/Python
  • Present interesting findings to business stakeholders to drive business and strategic decisions
  • Build self-serve data products such as dashboards and tables to reduce time to insights
  • Perform advanced analytics when needed (such as building machine learning models using R/Python or data web apps using Shiny/Dash)

What You Will Need

  • At least 5 years of practical experience in SQL and R/Python
  • Prior experience with applied statistics, experimental design and ML (there will be a technical phone screen to test you on this!)
  • Bonus points for prior experience with customer lifetime models, marketplace supply/demand or causal inference methods for campaign effectiveness
  • Able to tell a coherent data narrative using visualization tools, and set best practices in data visualization to convey a product insight through impactful graphs
  • Proven ability to recognize business needs; able to communicate with multiple stakeholders including PMs, business and operations
  • Able to balance attention to detail with swift execution
About the Team
Our Data Science team consists of over 10 Data Scientists based in Bangalore, India.
Our main responsibility is to build data products for ride-hailing, logistics, food delivery, and payments. How does one achieve this, you may ask? By leveraging on Machine Learning. From selecting the right driver to dispatch, to dynamically setting prices, to forecasting real-world events, to processing the hundreds of millions of orders per month across more than 20 products - all this is driven by Machine Learning. We are working on several projects now, including one about how we can strategically position our driver-partners to improve our 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. Along with keeping fit (via badminton and table tennis), our team bonds over our shared love of hiking. With WFH becoming more normalized, you best believe we’ve been sharing our favorite ways to prioritize a healthy work-life balance at home (Netflix, anyone?).

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 ML Python R Research SQL
Job region(s): Asia/Pacific
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