Analyst, Data Modeling

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Analyst, Data Modeling Shanghai, SH, China Company Description: Job Description: Job Summary Responsible for executing technical and statistical aspects of modeling and analytical projects and for ensuring that projects are delivered to the high-quality standards and timeline agreed with clients. This role will involve collaborating closely with commercial managers and being responsible for projects with guidance from senior analysts or managers. Responsibilities To execute daily modeling work including but not limited to data processing, model adjustment, result validation and ensure that clean, robust, and meaningful results are delivered in response to commercial brief To identify and solve quality and statistical data issues that may arise throughout the course of the project To manage the technical and statistical parts of analytical products To participate in and contribute to customized projects and the development of innovative solutions to support functional and industry applications To support commercial teams in the initial project design and answer technical questions that may arise in results presentation to clients Qualifications: Being familiar with Python is necessary Solid statistic knowledge and has capability to design new methodology Good understanding of frequently used Machine Learning Algorithm (e.g., decision tree, random forest, SVM, XGBOOST, network analysis, etc.) Good analytical skills and problem-solving skills Effective communication and project management skills are needed Knowledge with R, VBA, SQL, Visualization tool (e.g. Power BI) would be a plus Experience using Spark/Pyspark would be a plus Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) would be a plus

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