About the Role As our Senior Data Scientist, you'll be an integral player in the Demand and Incentives Data Team based in Jakarta. With the latest cutting-edge data science tech at your disposal, you'll focus your efforts on bringing our incentive systems to the next level, employing various quantitative techniques such as Machine Learning, Optimization, Simulation, Bayesian Techniques to drive asymmetric values for our businesses at Gojek. You'll be heavily involved in ideation, research, and building prototypes, and the folks in the Data Science Platform will bring your models to production. Your efforts will directly influence the stability and scalability of Gojek's demand & incentives stream, and thus to company's top and bottom line as a whole. What You Will Do Drive the long term vision of the Machine Learning-based incentive systems and own its implementation end-to-end Enhance the technical excellence of the team and bring the data science products in your stream to the next level Work with other Data Scientists, Machine Learning Engineers, and Business users to build, deploy, and scale data science solutions for incentive systems Utilize your experience in data science, machine learning, software engineering, distributed systems to develop these systems; work with the platform team to take the systems to production Work with Business teams to continuously refine and improve the systems to cater to Gojek's ever-evolving needs What You Will Need At least 5 years of experience as a Data Scientist/ Machine Learning Engineer, with solid understanding of Data Science and Machine Learning fundamentals and experience taking Data Science models into production Experience in Python, R, Golang/Java, Unix; along with knowledge of good software design principles and TDD Working knowledge of Cloud-based solutions (GCP/ AWS), Stream Data Processing Frameworks (Beam) and mature Deep Learning frameworks (e.g.
Climb on board and fasten your helmet if you're ready to be our Data Scientist. In this role, you will get to mine insights from the sea of data, build data products, and design experiments with the ability to see the real-time impact of your contribution. You will be analyzing data, developing and deploying Data Science solutions to improve GoLogistics products. You will not be alone in this journey though! We have Product Managers, Engineers, Data Scientists, Business Intelligence, Design, and Business folks that are eager to work with you.
About The Role They say no man is an island, and this holds true here at Gojek. Data Scientist, you'll be part of the Consumer Platform team that directly impacts Gojek by building smart smart data products. Your main objective will be to mine insights from the sea of data to build ML powered data products. Many smart business leads, analysts and scientists will be your companions during this ride. Best yet, you'll have the opportunity to flex your DS skills, getting us even closer to our ultimate goal to become the leading technology platform.
This can be demonstrated by a track record of happy, referenceable customers who appreciate your technical acumen and your diligence. This is a hands-on role – be ready to jump in and use the product from your first day. We would be thrilled if you-Have an existing portfolio of projects that demonstrate your ability to successfullyapply ML and Data Science methods to real-world business problems.-Have
Role Description: The Rackspace FinOps group enables cloud users to align their cloud technology adoption with their business strategies. We advise many of the world's largest AWS, GCP, Azure, and other Cloud consumers on topics ranging from cloud architecture to organizational governance to cloud economics, driving efficient cloud adoption and usage for our clients. The FinOps Data Engineer role is an exciting opportunity to build solutions that will help us and our clients turn complex multi-cloud cost and performance datasets into actionable insights. This is an opportunity to make an impact on a fast-growing team. You'll be instrumental in creating new and better analytics and ML solutions, and generally innovate to drive new value for our clients.