Career The Future of QI Is at Your Hand
Data Scientist Qindom Inc. Work Location: North York, Toronto, ON Years of relevant experience: at least 3 years

Overview

We are looking for a data scientist to join our cross-disciplinary team to define the future of quantum intelligence. The candidate will work closely with our machine learning and quantum computing scientists to pursue cutting edge data science research and development aligned with Qindom’s long-term QI goal.

At Qindom, we apply quantum computing and machine learning technologies to embed quantum properties into AI methodologies. This involves developing QI algorithms, models and software based on classical and quantum processors and architectures, designing QI solutions to high-value optimization and machine learning problems, and offering QIaaS platform services, etc.

The candidate will work closely with leading businesses in industries, provide analytical and strategic support, thus to boost client growth and achieve our objectives. You are expected to demonstrate high proficiency in data processing, analysis and interpretation, and to support a wide array of strategic analyses and initiatives with other members of our team. Successful applicants will go through a training session in quantum intelligence and receive bonus commensurate with their experience and progresses.

What you need to succeed

Bachelor’s degree, preferably Master’s or PhD degree in computer science, mathematics, statistics or other related quantitative fields;
1-3+ years of experience with machine learning model development and working with large datasets
3+ years of programming experience in Python, Java, or Scala with good grasp of software engineering standard methodologies such as reusability, modularity, use of repos, etc.
3+ years’ experience in data extract/transform/load (ETL), and cleansing; advanced knowledge on data architecture and storage techniques
Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, times-series analysis, experimental design (A/B testing), data visualization and deep learning;
Experience in one or more of the following machine learning frameworks: Tensorflow, Torch, Caffe, etc.
Knowledge of statistics;
Experience working with a range of Databases/Distributed data stores such as SQL, Hadoop, Spark
Quick learner, inquisitive by nature, ability to learn independently
Experience with data engineer, DBA, and software development is a plus
Bilingual in English and Mandarin preferred but not required

What you will do

You will apply statistics / machine learning techniques to build models in a variety of fields such as finance, insurance, e-commerce, and IoT
You will perform data ETL/cleansing and play a key role in the ongoing maintenance of data storage
You will proactively learn domain knowledge that are essential to better understand the area of interest
You will work with developers and product managers to develop and deploy the infrastructure to utilize the models
You will practice explaining complex models and findings to non-experts
You will learn constantly to be aware of and be willing to adopt the new advances in machine learning techniques
You will know how to collaborate and assist with ad hoc tasks

About Qindom

Qindom is a premier Quantum Intelligence (QI) research and solution service provider. Born as the game-changer in the present AI world, we are dedicated to reconstructing AI with quantum computing technologies in research and application. Our goal is to break through bottlenecks of AI and to provide sustainable QI solutions and industry standards. Qindom’s open platform enables users to enjoy the revolutionary experience of QI, and its intellectual properties are designed for applying quantum computing to revolutionize fundamental algorithms and models in AI, and realizing QI in real-world industry practices.

Qindom’s competitive advantages and cutting-edge practices are recognized by industry leaders and investors. The company received 2 million (USD) in seed round funding soon after launch. We are a team of passionate and innovative experts and scientists of cross-disciplinary backgrounds in mathematics, quantum computing, machine learning, software engineering, data science, neuroscience, and other industries or domains. Located in Toronto, Canada, our new 2000-square-feet private office space welcomes the smartest and most dedicated people from diverse backgrounds who share the same passion and common goal. At Qindom, we invite you to take a bold leap in artificial intelligence.

If interested, please send your resume to hr@qindom.com.

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