Job Description

: Data Scientist (Blockchain/Crypto - SG)
Carro is the largest car marketplace in South East Asia - our mission is to be the marketplace of choice for all automotive needs. At Carro, we catalyse change in the automotive ecosystem by driving higher standards, reshaping the industry with our solutions and empowering everybody with the experience they deserve.

The Data Science Department employs technology and innovation to accelerate Carro’s growth, implementing smart solutions to elevate the well-established automotive industry. The utility of technology is deeply ingrained in Carro’s internal structure and business models to provide an efficient system for both employees and customers. The Data Science Department has engagements with projects such as computer vision, general machine learning, resource optimisation, amongst many others.

Carro is seeking to hire an ambitious and agile data scientist to partner with the blockchain/crypto team to build and scale a suite of products that delivers great experience to our users.
This is a hands-on role, and you’ll have full autonomy in choosing the toolkit and approach you want to apply to achieve a data objective. You will have ownership over important project areas that include defining the roadmap of data science. You will work with structured and unstructured data to find a pattern/trend of how our users are using the product and present these insight reports to the business stakeholders. You have a sharp mind and hands-on approach when it comes to tackling technical challenges. If this sounds exciting to you, come join Carro!

Responsibilities

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  Participate in defi quantitative trading projects, blockchain node maintenance or customization.
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  Participate in research and survey of blockchain forward-looking projects and fields.
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  Study the source code of blockchain nodes, such as geth.
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  Conduct competitor analysis review of the crypto industry with senior management and shareholders on a regular basis, updating the new opportunities to the founders.
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  Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries.
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  Exploring and visualising large datasets to drive insights.
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  Fluid at extracting and transforming data from systems.
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  Fluid at practical data mining techniques (pattern detection, predictive modelling, anomaly detection, and optimization) to identify areas of improvement for business/product
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  Identify and highlight areas of opportunities to help business/product owners optimise existing or new business opportunities/processes
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  Applying machine learning techniques for a variety of modelling and relevance problems
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  Assist with developing strategies and managing operational metric for various projects

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  Bachelor’s degree in Computer Science, Statistics, Industrial Engineering, Mathematics, Economics or quantitative discipline.
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  Over 2 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics, multivariate testing, and algorithm-optimization for machine learning. Commercial experience is highly desirable.
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  Over 2 years of experience specifically with deep learning (e.g. CNN, RNN, LSTM).
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  Strong knowledge in big data ETL processes, data, and data exploration algorithms.
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  Strong working knowledge of data science algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks.

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  Prior experience in ML model deployment / containerization / MLOps on AWS.
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  Multiprocessing (Celery/ Dask/ PySpark).
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  Automatic hyperparameter optimization (Keras Tuner/ Hyperopt etc).
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  Significant proficiency in programming skills (MySQL, SQL, Python, R or similar).
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  Strong data visualisation and storytelling skills. Experience in creating dashboards using a variety of visualisation tools.
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  Can lead, work independently, as well as play a key role in the team.
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  Broad-minded with attention to detail and strong business acumen and insights.
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  Excellent communication skills (oral, written, and presentation skills) to work with various stakeholders (technical and non-technical) including presentation of insights reports to business/product owners.
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  Comfortable working in a fast paced, highly collaborative, dynamic work environment.

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  Experience in NLP, image processing, blockchain or recommendation systems.
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  Experience working with a product-based organisation.
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  Knowledge of e-commerce, automotive, banking, cryptocurrency, insurance industries is advantageous.

Job Information

• 
  Industry
  Technology
  City
  Sin Ming Lane
  Province
  Central Singapore
  Country
  Singapore
  Postal Code
  573953