Senior Data Scientist
Bangkok, Bangkok, Thailand
Data Wow
Data Wow is a data science consultant in Bangkok providing services for Big Data, AI Development, Web Software Development, and Data Management.As Data Scientist, you will be working with high complex structured and unstructured datasets. Yes, we are talking terabytes. You will be building Statistical, Machine Learning, and/or Deep Learning models to solve business problems, improve operation, and build data products.
Responsibilities:
- Build state-of-the-art Deep Learning models to tackle Computer Vision and NLP problems
- Work with data/product engineers to deploy it to production and/or build a data product out of your ML models
- Communicate with the stakeholders to understand the business problem, solve the problem using data, and effectively present the insights/results
Requirements
- B.S./M.S./PhD in mathematics, statistics, data science, computer science, electrical engineering, or related field
- Good understanding of data science: data visualization, regression, clustering and classification
- Fluent in Python (Numpy, Pandas, Scikit-Learn)
- At least 2 year experience working with Machine Learning (Decision Trees, SVMs, Logistic Regression, PCA, Kernel Methods, LDA, QDA)
- At least 2 year working with Deep Learning. Being fluent in at least one DL framework (e.g. Tensorflow, Theano, Keras, MxNet, PyTorch, CNTK)
- Alternatively if you don't have Machine learning experience, you must have at least 2 year working with data analytics.
- Alternatively opening for someone with data analytics background.
- Experience working with big data is a plus
- Experience with parallel/distributed/cloud computing is a plus
- Experience training Deep Learning models on multiple GPUs is a plus
- Knowledge on (Deep) Reinforcement Learning is a plus
- Experience with unsupervised and generative models are a big plus (e.g. Autoencoders and GANs)
- Experience with multi-task learning is a big plus
- Proficiency in SQL and MongoDB
- Good command of English
Benefits
- Competitive Salary
- Work from Anywhere
- Choose your own office equipment
- Monthly Grab Food and Transportation Credit
- Health Insurance and Mental Wellness Service
- Education Allowance (Pay 100% for Job-related)
- Stash money for your home office
- Free snacks & drinks bar
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Classification Computer Science Computer Vision Data Analytics Data visualization Deep Learning Engineering Generative modeling Keras Machine Learning Mathematics ML models MongoDB MXNet NLP NumPy Pandas PhD Python PyTorch Scikit-learn SQL Statistics TensorFlow Theano
Perks/benefits: Career development Competitive pay Health care Wellness
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