Responsibilities:
- Provide actionable analytics that support major business change initiatives, including operations, service delivery, customer management, and sales.
- Utilize mathematical rigor and innovative algorithms to extract valuable insights from data.
- Collaborate with stakeholders to develop data science solutions that facilitate impactful business transformations.
- Lead individual use cases to ensure alignment with business needs and delivery of value.
- Serve as a key client-facing contributor.
- Translate unstructured business questions into quantitative analyses.
- Provide advanced analytics support, including machine learning, big data, and statistical modeling.
- Recommend appropriate analytical models based on data availability and technology.
- Evaluate machine learning algorithms and provide technical guidance for decision-making.
- Prototype and optimize advanced analytics and machine learning solutions.
- Monitor the performance of data science products to ensure they deliver business value and initiate corrective actions as needed.
- Lead the implementation of capabilities such as data modeling and new technologies.
Requirements:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- 3-6 years of experience leveraging large datasets to drive business impact.
- Advanced analytical skills, with a background in statistical modeling (Bayesian inference, MCMC, VI) preferred.
- Proficiency in statistical analysis tools and machine learning languages (Python, R) and big data tools (Spark).
- Strong communication skills for articulating ideas to diverse audiences.
- Familiarity with AWS cloud services is a plus.
- Experience with data visualization tools (e.g., Alteryx, QlikSense, Power BI) is advantageous.
- Good command of English and Chinese.