
Saining Zhang
Scientific
Services offered
- Data Scientist and Analytics Leadwith 10 years of experience across Retail, Consumer Goods, FinTech, and Automotive.
- Skilled inPython,SQL,R,SASandTableau,withsolidfoundationfor machine learning.
- Proficient inend-to-end data science pipelines: data extraction, cleaning, modeling, deployment, and monitoring.
- Adept atstakeholder management and communicating complex analyses to non-technical audiences.
Experience
Data Science & Analytics Lead 08/2020 – 03/2024
Yo-ren Ltd., Shanghai, China,
- Owned the full data science lifecycle (data management, visualization, analysis, modeling, stakeholder communication) for multiple business lines across Retail and Consumer Goods.
- Leveraged Python, R, SQL, and Tableau to gather, clean, and visualize large datasets from diverse sources (in-app behavior, purchase history, demographic data).
- Developed and deployed machine learning and statistical models (Regression, Classification, Clustering, PCA, Bayesian Models, and Time Series) to inform strategic decisions on:
- Customer Activation & Retention: Targeted promotions, campaigns, and messages that grew overall membership from 20M to 50M and monthly active users from 3M to 5M in 3 years.
- Store Expansion: launched a product that identified optimal store locations leading to successful expansion from 2K to 5K convenience store locations nationwide in 3 years.
- Product Recommendation: used Weighted Analysis and Association Rules for recommendation at multiple levels, resulting in a 22% increase in recommended product sales and a 4% overall uplift.
- Created and launched a Social Listening Analysis product using NLP (sentiment analysis, trend detection and topic modeling) on millions of social posts, which drove a 4% increase in company revenue.
- Led cross-functional collaboration with product, engineering, and operations teams for model deployment, including a K-means customer segmentation model that improved repurchase rates by 25% for an eyewear client.
- Communicated insights and actionable recommendations to executives, guiding data-driven decision-making for improved product offerings and go-to-market strategies.
- Led and mentored a team of 5 data analysts and scientists, and managed recruitment and onboarding of new-hires.
Senior Data Scientist 05/2019 – 07/2020
ISINONET Inc., Shanghai, China
- Engineered and preprocessed complex financial datasets (demographic, transactional, credit, loan) to enable robust modeling (missing value imputation, outlier handling, transformation, one-hot encoding, imbalanced data resampling).
- Developed and optimized a Logistic Regression model to identify high net worth customer segments (AUC > 0.85), reducing marketing costs by over 80%.
- Translated ML results into concise reporting and dashboards for executives and sales teams, ensuring clear understanding and fostering adoption of data-driven strategies.
Research Analyst -> Research Project Director 02/2013 – 12/2018
Escalent Inc. (Formerly Morpace Inc.), Farmington Hills, MI, US / Shanghai, China
- Directed end-to-end project management of Brand Tracking Studies for Ford Motor Company in over 10 global markets, insights contributed to a 10% increase in global revenue.
- Designed and implemented sampling frameworks to ensure accurate representation of target demographics and alignment with project objectives.
- Combined survey data with 3rd party data sources, performed advanced data analysis with SAS and R to track KPIs, and conducted ad-hoc analysis to identify root cause for abnormal results.
- Conducted statistical analysis (Z-Test, T-Test) to test for significance between groups.
- Created reports and client-facing presentations to communicate business recommendations that resulted in revamped brand strategy and reduced consumer opinion gap to market leader by 15%.
Education
Master of Science, Marketing Research 09/2011 - 12/2012
Michigan State University, East Lansing, MI, US
Bachelor of Science, Chemistry 09/2007 - 06/2011
Wuhan University, Wuhan, China
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