AGODA HIRING: Machine Learning Engineer, Bangkok at Big Wednesday Digital (Bangkok, Thailand)

Machine Learning Engineer, Bangkok

Overview:

Agoda is the largest and fastest growing online hotel booking platform in Asia. And as a Booking Holdings (BKNG) company, we are part of the largest online travel company in the world. We have the dynamism and short chain of command of a startup and the capital to make things happen.

Our Bangkok team is looking for top quality passionate engineers to build data applications across our business domains.

Why Machine Learning in Agoda?

In Agoda we adopt a data-centric approach to solve almost all business problems. We build real-time machine learning applications to answer questions like ranking, recommendation, and how to serve prices most efficiently. Our systems scale across multiple data centres, handling a few hundred thousand requests per second, and respond within a few milliseconds.

This is a unique combination of hard-core engineering challenges (scalability, performance, sometimes really low-level tuning) and complex machine learning algorithms.

Day to day

• You'll work with experienced engineers data scientists and product owners to identify business opportunities, design and create new data pipelines from scratch, all the way to deploying them to production
• Develop solutions for real world, large scale problems
• Participate in cutting edge research in machine learning applications
• Improve scalability, speed and performance of existing models

About you

• 3+ years of industry experience, including software development experience
• Experience in one or more object-oriented languages, including Scala, Python, Java or C++
• Experience working in an agile environment using test driven methodologies
• Adherence to data driven development where decisions are based on data and A/B experimentation
• Desire to learn the details of advance machine learning algorithms

Nice to have

• Work or educational experience in Machine Learning or Artificial Intelligence
• Experience working with Apache Spark, Tensorflow, Caffe, Torch, Theano, or Scikit-Learn
• Experience building large-scale distributed products
• Passionate about functional programming

A few of the technologies we use

Scala, Spark & MLlib, Python, Jupyter, Hadoop, Hive, Impala

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.



Please note this role is based in Bangkok
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Data Scientist at Etiometry Inc. (Boston, MA)

We are currently seeking a Data Scientist to help us mine information from our rapidly growing set of clinical data. The insight gained from these mining expeditions will help us understand the impact that our technology is having on critical care, determine new use cases for the technology, and develop future versions with more advanced capabilities.  You will be tasked with a range of responsibilities, including data mining, statistical analysis, model development, database curation/augmentation, publication and collaboration with partnering academic medical centers.

Responsibilities

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• Manipulate large data sets consisting of patient clinical data and outcome data.
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• Mine patient data for critical events, outcome variables, and treatment actions.
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• Perform statistical analysis to understand relationships between clinical variables and Etiometry’s Risk Analytics^TM
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• Develop models for prediction and classification utilizing machine learning techniques such as logistic regression, SVMs, neural networks, decision trees etc.
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• Provide data mining and analysis support, including data cleaning, to data customers, which includes other Etiometry teams and research collaborators from partnering hospitals.
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• Research current advances in data science and statistical analysis methods.
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• Publish analysis findings at data science conferences and in journals.
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Basic Qualifications

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• Master’s Degree, or Bachelor’s Degree with 3 years of experience, in engineering, computer science, statistics, bioinformatics, or other related field.
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• Strong background in statistical analysis, machine learning, and data mining including regression analysis, classification, predictive modeling, feature engineering, hypothesis testing etc.
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• Solid understanding of probability theory and statistics.
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• Experience manipulating large data sets of time-series and intermittent data.
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• Strong communication and organization skills.
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• Proven ability to contribute to emerging or cross-disciplinary fields.
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Desired Qualifications

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• Experience working with Python as a development language with an emphasis on data science.
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• Experience with Python data analysis packages such as Sci-kit Learn, Pandas, and SciPy.
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• Comfortable working in a Linux based environment.
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• Experience working with database types such as MongoDB, MySQL, and PostGres.
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• Knowledge of Bayesian data analysis methods such model comparison, Markov Chain Monte Carlo sampling , Hierarchical modeling, Generalized linear models, and Bayesian networks.
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• Experience working with clinical data.
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• Experience performing independent research projects.
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