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What you'll do...
Position: Senior Data Scientist
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Develop custom data models to drive innovative business solutions. Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including MySQL, Hadoop, Weka, R, Matlab, and ILog. Analyze large data sets to develop custom models and algorithms to drive business solutions. Work on project teams to provide analytical support to projects for Walmart eCommerce. Build large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Train the algorithms so they can be applied to future data sets and provide the appropriate search results. Research new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support assigned projects. Work with cross-functional partners across the business. Develop models of current state to determine needed improvements.
Minimum education and experience required: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Analytics, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Analytics, or related field and 3 years of experience in an analytics related field.
Skills required: Experience in scalable data analytics, statistical modeling, data visualization, feature engineering on various data (PowerBI, Tableau, Pandas, NumPy, SciPy, Spark, PySpark). Experience with AI Model Pre-training, including designing distributed training pipelines and large-scale data curation, and optimizing foundational architectures using PyTorch, DeepSpeed (ZeRO), and Hugging Face. Experience with AI Model Post-training & Human Alignment, including implementing supervised fine-tuning (SFT), RLHF (Reinforcement Learning from Human Feedback), and early Transfer Learning for domain-specific optimization. Experience with Deep Learning and Computer Vision, including building and optimizing 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. Experience with Natural Language Processing (NLP): Text classification and sentiment analysis using BERT, RoBERTa, and Transformer architectures. Experience with Information Retrieval, including utilizing Vector Embeddings, Cosine Similarity, and FAISS for high-dimensional semantic search. Experience processing distributed data at scale using SQL and NoSQL environments, including query optimization and data lake management in Hive and BigQuery. Experience with Computer Vision techniques, including implementing YOLO or Mask R-CNN for Object Detection, Instance Segmentation, and Image Enhancement. Experience with…