Data Scientist - Singapore - Horizon Corp

Horizon Corp

Verified Company

Singapore

1 week ago

Posted by:

Wei Jie

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Description

Role :
Senior Data Scientist

Job Type :
Full time permanent

Location :
Singapore

The broad area of the role covers:

Translate customer pain-points into problem statements, architect analytics solution, and engagingly present results and learnings to both technical and non-technical audiences.
Develop and manage entire endtoend lifecycle of scoping of data inputs, data cleaning and preprocessing, feature engineering, building models, deploying to production and improving models by iterations
Present statistically sound model validations to justify model selection and performance
Build and deploy highly valuable, efficient, scalable advanced analytics models in production systems
Design and develop sophisticated visualizations and dashboards to explain the actionable insights
Contribute to the data architecture engineering decisions to support analytics.
Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
Post Graduate Degree in Mathematics, Applied Statistics, Business Analytics or equivalent
Proficiency in manipulating and analyzing complex, highvolume, highdimensionality data (structures/unstructured) from varying sources such as datawarehouse and bigdata platform.
Strong knowledge in Feature Selection/Extraction on a variety of data types.
Possess minimum 3 years work experience with traditional machine learning modeling and deep learning especially in area of images/video and natural language processing (NLP).
Experience in Python programming, Apache Spark (or PySpark) coding capability to operationalize data analytics workflows & processes
Experience with model deployment and operationalization (eg KubeFlow).
Experience in data visualization tools and libraries such as Tableau, Qlik, Shiny Plotly, ggplot2, etc
Strong competency in various machine learning techniques (supervised/ unsupervised learning)
Solid understanding of advanced analytics and statistics concepts (simulations, optimizations, clustering, regression, and neural networks, natural language processing, computer vision etc.)
Experience in machine learning model management and deployment tools using containerization (Docker, Kubernetes)
Experience in Amazon Web Services, Microsoft Azure, Cloudera, Hadoop, Spark, Storm or related paradigms and associated tools such as Pig, Hive, Mahout

Nice to have:

Experience in machine learning model management and deployment tools using containerization (Docker, Kubernetes)
Experience in Amazon Web Services, Microsoft Azure, Cloudera, Hadoop, Spark, Storm or related paradigms and associated tools such as Pig, Hive, Mahout
Knowledge in database modelling and data warehousing concepts

Job Types:
Full-time, Permanent

Pay:
$8, $10,000.00 per month

Schedule: