Senior Data Scientist (AI)

Job description

​Part of the Automation Intelligence team, we are expanding the Data Science team to offer better AI services to our clients.

RESPONSIBILITIES:

• 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

REQUIREMENTS:

• 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

• 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

• Experience with application/ software development and design

• Knowledge in database modelling and data warehousing concepts

• Only Singaporeans

Please contact Ranelle Liew at +65 9836 1864 or RanelleL@charterhouse.com.sg for a confidential discussion.

EA License no: 16S8066 | Reg no.: R1874529

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Only successful candidates will be notified.