Responsibilities

• Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques.

• Understand the business reality behind large sets of data and develop meaningful analytic solutions.

• Utilizing SQL and code (Python, R, etc.) for analyzing data and building statistical models to solve assigned business problems

• Explore new data sources and data gathering techniques.

• Coordinate with different functional teams to implement models, carry out experiment and monitor outcomes.

• Further enhance processes and visualization tools to help business monitor key metrices and build operational alerts based on data.

• Breakdown complicated problem for juniors to work on, monitor their progress, enforce best practice and guide their growth

• Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge and promote data-driven decision making culture in the company.

Requirements:

• Bachelor's Degree or above in STEM or Economics

• 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

• 2 years working as a Data Scientist • Strong proficiency in SQL

• Direct experience analyzing A/B experiments

• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

• Practical understanding and hands-on experience with regression modelling (linear and logistic) is preferred

• Direct experience with both supervised learning methods (linear and logistic regression, time-series modelling, generalized linear models, decision trees, random forests, support vector machines, etc.) and unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components) is preferred

Interested parties please send CV in WORD format with current/expected salary and notice period to CV@jc-search.com.  All information will be treated in strict confidence and for recruitment purpose only.