Cake 找工作

【Game changer, armed with data.】 You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire. 【What a Data Scientist does in Titansoft】 ．Apply statistical, ML/

COMMEET (https://commeet.co) 擴大徵才，歡迎有熱情之新夥伴加入我們的行列 [工作內容] 1 整理、標記數據，以確保數據的準確性與可靠性。 2 建立/維護/優化資料處理流程與架構(data pipeline)。 3 跟相關的stakeholder合作，解

About the Role We are looking for a dynamic, energetic intern who is eager to solve a variety of practical deep learning and computer vision tasks arising from different businesses in GoTo Financial. You will be working closely with the KYC data science team and attend daily standups. You will be involved in live production projects and assisting prototype development. About the Team Goto KYC Data Science team builds critical ML components/models which go into

About the Role Gojek is a data-driven organization. Data has become the most critical part of its strategy to become the market leader through innovations and service excellence. As a Data Warehouse Developer, you’ll take a critical part in developing & maintaining our large-scale data environments that will be valuable for our main users to generate business insights, decision-making, deep analysis, and even data science products. You’ll have the opportunity to work with

About the Role Data Scientists want to spend their time exploring data, crafting the right features and optimising their models… so far so good. Production requires a lot more though. What about the data pipelines? Scaling up infrastructure based on demand? Running experiments at scale? Feature data consistency? This is where you come in as a Software Engineer for Gojek’s ML platform. Most companies embed ML engineers in data science teams to solve these problems.

About the Role We are looking for a dynamic, energetic intern who is eager to solve a variety of practical deep learning and computer vision tasks arising from different businesses in GoTo Financial. You will be working closely with the KYC data science team and attend daily standups. You will be involved in live production projects and assisting prototype development. About the Team Goto KYC Data Science team builds critical ML components/models which go into

As a senior data scientist in the GoTo Risk Data Science team, you will develop data science models for On-Demand Services (aka Gojek). You will have the opportunity to work with large-scale data to derive new intelligence and use cutting-edge data science techniques. You will partner with Risk, product, and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems. You will work in a fast-paced environment with

Data has become the most critical part for Gojek to become the market leader through innovations & service excellences. As a Data Warehouse Developer, you’ll take a critical part in developing & maintaining our large scale data environments that will be valuable for our main users to generate business insights, decision making, deep analysis, even data science products. You’ll have the opportunity to work with multiple cross functional teams, such as Product Managers, BI Analyst, Product Enginee

About the Role Data Scientists want to spend their time exploring data, crafting the right features and optimising their models… so far so good. Production requires a lot more though. What about the data pipelines? Scaling up infrastructure based on demand? Running experiments at scale? Feature data consistency? This is where you come in as a Software Engineer for Gojek’s ML platform. Most companies embed ML engineers in data science teams to solve these problems.

Minimum qualifications: Master's degree in a STEM field or equivalent practical experience. 4 years of industry or PhD Data Science experience. Experience in causal inference, A/B testing, statistical modeling, or Machine Learning (ML). Experience with programming in SQL and Python, leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas). Preferred qualifications: PhD in a STEM field. Publications related to Data Science, posters or presentations in Artific