Senior Data Scientist
About The Position
The Senior Data Scientist develops custom data models and algorithms to support business solutions for Walmart eCommerce. The role builds complex, large-scale data sets from internal and external sources; analyzes data to identify trends and relationships; develops learning systems for continuous and offline data; and trains, validates, and scales algorithms for new and large data sets. The work includes combining data features to develop search models and predicting future data characteristics and appropriate search results. The position provides analytical support to project teams and works with cross-functional business partners. It develops models of the current state to identify improvements and researches industry trends, techniques, and technologies. Tools and technologies mentioned include MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi, along with a broad range of data science, AI, cloud, and software development technologies.
Requirements
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Analytics, or a related field and 1 year of experience in an analytics-related field; OR a bachelor’s degree in one of those fields or a related field and 3 years of experience in an analytics-related field.
- Experience in scalable data analytics, statistical modeling, data visualization, and feature engineering using tools such as PowerBI, Tableau, Pandas, NumPy, SciPy, Spark, and PySpark.
- Experience with AI model pre-training, including distributed training pipelines, large-scale data curation, and foundational architecture optimization using PyTorch, DeepSpeed (ZeRO), and Hugging Face.
- Experience with AI model post-training and human alignment, including supervised fine-tuning (SFT), RLHF, and transfer learning for domain-specific optimization.
- Experience with deep learning and computer vision, including image classification and feature extraction pipelines using EfficientNet, ResNet, and TensorFlow.
- Experience with distributed data processing and large-scale data engineering in SQL/NoSQL environments, including query optimization in Hive, BigQuery, and Spark, and data lake management.
- Experience with NLP, including text classification and sentiment analysis using BERT, RoBERTa, and Transformer architectures.
- Experience with information retrieval using vector embeddings, cosine similarity, and FAISS for high-dimensional semantic search.
- Experience with computer vision techniques including YOLO or Mask R-CNN for object detection, instance segmentation, and image enhancement.
- Experience with cloud-based model training and inference using managed services in Azure ML Studio and GCP Vertex AI for lifecycle management.
- Experience with version control and collaborative software development lifecycle management using Git, GitHub, and CI/CD pipelines.
- Experience evaluating model performance using statistical indexes including F1-score, ROC-AUC, and mAP, and conducting A/B testing for model comparison.
- Experience with web crawling and ETL using BeautifulSoup or Scrapy to pull and structure data from internal and external catalogs.
- The employer will accept any amount of graduate coursework, graduate research experience, or professional experience with the required skills.
Responsibilities
- Develop custom data models and algorithms to drive business solutions.
- Build complex data sets from multiple internal and external sources.
- Conduct advanced statistical analyses to identify trends and significant data relationships.
- Build learning systems to analyze and filter continuous data flows and perform offline data analysis.
- Train algorithms to apply models to new data sets; validate models and algorithmic techniques; and scale algorithms to large data sets.
- Combine data features to develop search models and predict future data characteristics and appropriate search results.
- Analyze large data sets and test, validate, and apply algorithms to them.
- Provide analytical support to Walmart eCommerce project teams and work with cross-functional business partners.
- Research industry trends, techniques, best practices, and up-to-date technologies to support assigned projects.
- Develop models of the current state to determine needed improvements.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
- Short-term and long-term disability.
- Education assistance, including company-paid college degrees.
- Company discounts.
- Military service pay.
- Adoption expense reimbursement.
- Performance-based incentive awards.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
