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JOBS
JOB DETAIL
Ref: CMI2205160 |
Title : Data Scientist x 1 |
Salary : 52000-52000 |
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Requirement : |
Job No.: CMITBD - 506
Client: Out Client is international Vendor and Consultancy Company.
Key Technical Skills / Domain knowledge:
Map/Reduce, Hadoop, Hive, Spark
Project Type / Client:
Multi
Budget / Monthly Salary:
Max: HKD52K (Negotiable)
Skill(s) Requirement:
• Previous working/research experience for 3-5 years and recently worked as Data Scientist/Data Analyst with Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Econometrics or relevant quantitative field. Master’s or PhD degree is preferred
• Hands on experience with Python and SQL
• Good knowledge of statistical concepts (properties of distributions, statistical tests) and machine learning techniques (such as regression, classification, time series, clustering, collaborative filtering, NLP) and their real-world advantages/drawbacks
• Good knowledge of at least one of the key visualization libraries (such as matplotlib, seaborn, plotly, ggplot2, Shiny, bokeh)
• Strong analytical and problem-solving skills
• A drive to learn and master new technologies and techniques
• Excellent written and verbal communication skills for coordinating across teams
• Having end-to-end analytic project experience from requirement gathering, business/data understanding, feature engineering, model development to insight deployment/feedback is a plus
• Hands-on experience in knowledge graph, deep learning, decision optimization and/or MLOps is a plus
• Hands-on experience with distributed data/computing tools such as Spark is a plus
• Knowledge of cloud computing services such as IBM Watson, Microsoft Azure, Google Cloud Platform, or AWS is a plus
• Good command of both spoken and written English & Cantonese
Role & Responsibilitie:
Responsibilities
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Formulate overall analytic solutions to address the identified business objectives and pain points
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Extract, clean, and transform structured and unstructured data to make it consumable for downstream analytics
• Perform statistical analysis, data mining and machine learning modelling on massive datasets to increase and optimize customer experiences, revenue generation and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
If interested for the above position, please send detailed resume with current and expected salary as well as date of availability to cv@itsearch.com.hk
The personal information collected is strictly for recruitment purpose only.
For more job opportunity, please visit our website: www.itsearch.com.hk
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