About the Role As our Senior Data Scientist, you'll be an integral player in the Marketplace Data Science team based in Bengaluru. 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 Marketplace stream, and thus to company's top and bottom line as a whole. What You Will Do Work with Data Scientists, Machine Learning Engineers, and Business Users to build, deploy, and scale Data Science solutions on match-making, supply, pricing problems in Gojek that touch the company's baseline Use your experience in Data Science, Machine Learning, Software Engineering, distributed systems to develop these systems, and 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 ever-changing Gojek needs Design and develop world class Data Science solutions to enhance the current stack of Marketplace algorithms for supply, demand, pricing What You Will Need At least 6 years of experience as a Data Scientist or Machine Learning Engineer, with experience in Python, Golang/Java, and Unix A Bachelor's Degree in Computer Science, Statistics, Operations Research, or a relevant quantitative field Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams Experience in taking Data Science models to production Prior academic or industry work experience with forecasting methods like auto-regressive models, Markov models, and Kernel-based methods Prior experience with simulations for modeling the stochastic nature of marketplace supply and demand, and knowledge of the transportation and mobility spaceAbout the Team Our Data Science team consists of over 20 Data Scientists. As Chicken Rice is to the people of Singapore, the Data Science team is to Gojek: providing the nourishment and power to sustain our business from the inside out.
Team Description: Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, the Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit. About the projects:Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.
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
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favourite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action--giving organisations instant access to the massive amounts of data that is constantly flowing throughout their business. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.
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.