Beyondsoft is a global IT Consulting, Solutions and Services provider. Founded in 1995 and headquartered in Beijing, China, Beyondsoft has over 30 nationwide offices, R&D bases and delivery centers, as well as facilities in United States, Japan, India, Canada and Singapore. Beyondsoft is now focusing on using emerging, disruptive technologies, like cloud, mobility, big data and analytics, to provide powerful solutions and products for clients in a wide range of industries including: high-tech, eCommerce, finance, automobile, retail, logistics, energy, manufacturing, healthcare, telecommunications, media & entertainment, and travel.
The goal of the Azure Customer Growth & Analytics (CGA) team is to foster a data-driven culture; to encourage and enable the entire organization to make more informed decisions through data. In support of this mission, our data science team carries out applied research in ML/AI and designs, develops and deploys state of the art algorithms for various business scenarios. Some of the more recent developments include applications of deep learning, neural networks, boosted decision trees, sparse linear models, and customer segmentation, which have been executed in partnership with teams across engineering, finance, business planning, and sales and marketing. Our team also has a strong presence in both internal and external data science and AI/ML conferences.
We are looking for a passionate, talented, and innovative Data Scientist with a strong machine learning and deep learning background to help build industry-leading solutions. You'll collaborate with partner teams and other researchers at Microsoft to build new ML solutions to solve critical and complex business problems. As part of this process, and with support from our data platform and engineering team, you will be working with huge volumes of data to solve real-world data science problems.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability