Senior Manager, Data Science
Walmart
PythonSparkSQL
Salary
💰 $136,250 - $194,000 per year
Job Level
Senior
Tech Stack
AWSCloudPandasPythonSQL
About the role
- Upwork is the world’s human and AI-powered work marketplace connecting businesses with independent talent globally
- Data Science sits within centralized Finance and drives profitable growth and marketplace optimization
- As a Senior Data Scientist, design models that measure and predict customer behavior, lifetime value, and marketplace health
- Tackle complex problems inherent to a global double-sided marketplace and deliver insights to drive product strategy
- Partner with Product, Marketing, and Trust & Safety to surface actionable insights and shape high-impact initiatives
- Own data workflows end-to-end: cleaning, transforming, feature engineering, and schema design using Python, SQL, pandas, and Snowflake
- Build and scale models and analyses using platforms such as AWS SageMaker, Hex, or Snowflake, ensuring repeatable and reliable workflows
- Communicate findings to technical and non-technical audiences to influence strategic decision-making
Requirements
- Strong background in statistical inference, observational causal inference and applied machine learning modeling
- Experience with data wrangling and modeling in Python or R (e.g., Pandas, Polars, Tidyverse)
- Proficiency in working with large-scale data on cloud platforms such as SageMaker, Kubeflow, Snowflake, or Databricks
- Ability to translate data insights into compelling narratives and visualizations
- 4+ years of experience in data science or a related role
- Degree in a quantitative field such as Math, Statistics, Economics, or Computer Science; Master’s or PhD preferred
- Knowledge of randomized experiment design and analysis
- Experience with time series analysis techniques (e.g., ARIMA, Prophet, and related methods)
- Understanding of MLOps workflows and code production practices
- Experience working with CI/CD pipelines and monitoring in production environments
- Experience with Python, SQL, pandas, Snowflake, and platforms such as AWS SageMaker, Hex
