Responsibilities:

• Translate business problems into data science projects that can be resolved using analytical techniques and mathematical modeling
• Plan and execute the development of analytical/machine learning solutions from initial design to model development, model validation, implementation, prototyping and testing.
• Break down business problems and recompose them in formulations that are solvable by analytical techniques and modelling
• Work with data analysts and engineers to identify, process and wrangle the data
• Evaluate experiment outcomes to draw actionable conclusions
• Present key findings and actionable recommendations to senior management and other stakeholders
• Work with tech teams to deploy data models across different channels, customer and back-office platforms
• Lead and train data analysts on advanced analytics and model building tools and techniques

Requirements:

• 3-5 years of relevant quantitative and qualitative research and/or analytics experience
• The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
• Experience using machine learning algorithms
• Proficiency in statistical analysis, predictive/prescriptive analytics, and optimization algorithms
• Experience in data wrangling, analytics, transformation, feature engineering and modelling using programming tools such as Python, Spark or R
• Proficient in SQL
• Experience with Cantonese / Mandarin Text and Speech Analytics / Natural Language Processing (NLP) is an advantage
• Experience in programming with Java, Python and big data frameworks like Hadoop and related technologies (HDFS, MapReduce, Hive, Impala, Pig)
• Strong communication and interpersonal skills
• Familiarity with visualization tools like Qlikview, Excel, PowerPoint and/or Tableau
• Ability to apply visualization skills to present/ communicate information