Data Scientist

Position: Data Scientist

Location: Palo Alto, CA (Day 1 Onsite)

Duration: Long Term

Role Summary:

• Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models.
• DS skills with GenAI and LLM Knowledge,
• Experience building H2O models (xgboost, logistic regression, neural networks, random forest).
• Experience with MongoDB and NO-SQL Datasets.Experience in Hadoop ecosystem, Databricks and Pyspark.
• Expertise in Python/Spark and their related libraries and frameworksExperience in building training ML pipelines and efforts involved in ML Model deployment.
• Experience in other ML concepts – Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, ModelUnix/Linux expertise; comfortable with Linux operating system and Shell Scripting.
• Familiar with DS/ML Production implementation.
• Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks.
• Azure cloud and Databricks prior knowledge will be a big plus.