Shopee

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description:

• Develop and implement advanced statistical and machine learning models to analyze large-scale ecommerce data sets, including customer behavior, sales trends, product performance, and pricing strategies.
• Utilize data mining techniques to identify patterns, trends, and opportunities for optimization across various ecommerce channels, such as websites, mobile apps, and social media platforms.
• Design observational study or relevant data science techniques to evaluate the effectiveness of different marketing campaigns, pricing strategies, and user experiences, and provide actionable recommendations based on the results.
• Build and maintain predictive models to forecast demand, inventory levels, and customer lifetime value, enabling proactive decision-making and efficient resource allocation.
• Support and/ or maintain existing codebase (including custom local NLP and CV models using Python/Pytorch/HuggingFace)
• Collaborate with stakeholders to define key performance indicators (KPIs) and develop data-driven strategies to achieve business objectives, such as customer acquisition, retention, and revenue growth.
• Work closely with cross-functional teams, including product and business units, to translate business requirements into data-driven solutions and drive the implementation of data science projects.
• Mentor junior data scientists, provide technical guidance, and promote a culture of data-driven decision-making across the organization.
• Stay up-to-date with the latest advancements in data science, machine learning, and ecommerce industry trends, and apply them to enhance our analytical capabilities and competitive advantage.

Requirements:

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field. Equivalent work experience will also be considered
• Proven experience as a Data Scientist or similar role, preferably within the ecommerce industry.
• Strong expertise in statistical analysis, machine learning, and data mining techniques, with hands-on experience in applying them to real-world business problems.
• Familiar with Linear/ Logistic Regression, p-values for coefficients and their interpretation
• Familiar with the usage of bagging/boosting tree models, and their feature importances (RandomForest, XGBoost)
• Familiar with unsupervised technique: KMeans, PCA, T-SNE
• Basic knowledge of building and fine tuning existing models (hyperparameter tuning, model evaluation, data debugging)
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of database systems, SQL, and experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark).
• Strong problem-solving skills and the ability to work independently, prioritize tasks, and meet deadlines in a fast-paced and dynamic environment.
• Excellent communication and presentation skills, with the ability to convey complex analytical concepts to both technical and non-technical audiences.