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Data Scientist

3 weeks ago

Singapore Horizon Corp Full time

**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 end-to-end lifecycle of scoping of data inputs, data cleaning and pre-processing, 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, high-volume, high-dimensionality 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: $8,000.00 - $10,000.00 per month

Schedule:

- Day shift