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Sr Data Scientist
  • Python
  • Spark
  • SQL
  • Machine Learning
  • Big Data
  • Data Analysis
  • Excel
  • Data Mining
  • Hadoop
  • Scala
  • NoSQL
  • Deep Learning
  • Azure
177 days ago

Job Summary

The Data Scientist is an intermediate level statistical analyst well versed in various analytical disciplines, such as linear and constraint programming, modelling, simulation, time series analysis, text analytics, multivariate analysis, and other various predictive analytics techniques.

Essential Duties & Responsibilities

Analyse raw data: sourcing data from existing multiple DWH, assessing quality, cleansing, structuring for downstream processing;

Identify new potential data sources: value of new data, integrating into analysis, assessing data readiness for automation and optimisation;

Design, build and maintain efficient predictive solutions, full cycle: business case, data preparation, modelling, deployment to production;

Collaborate with business / operations / IT / Quality / etc team to scale analytical prototypes to production;

Monitor performance of the deployed models and fine tune when needed;

Collaborate with business teams to define new requirements or changes related to advanced analytics solutions;

Educate business users to understand the relevance of specific data and analytical approach; communicate on best practices;

Work on teams with business/functional stakeholders to help make data driven decisions;

Conducts advanced data analysis and complex designs algorithm;

Education & Experience Requirements

Advanced degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field;

Deep learning and image recognition skills are required;

Solid 3 - 5 year’s professional experience building predictive and descriptive models

Exposure to manufacturing environment preferred;

Ability to work on complex projects from model design to deployment;

Extensive experience working with large datasets - structured and unstructured;

Knowledge, experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.);

Ability to program and review code in Python, Spark, Scala, R is highly desirable;

Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is a must;

Proven track record of overseeing multiple data science and machine learning projects at all stages, from idea generation to objectives formulation to implementation and deliverables;

Desire to work in a highly-collaborative environment;

Ability to work on multiple data science projects concurrently;

Bilingual in Chinese and English (high fluency) as the successful person will liaise with our counterpart in China;

Excellent communication skill and ability to work collaboratively in a dynamic environment;

Traveling needed and mainly to Greater China Region


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