Job Description for Data Scientist:
• Experience in Machine Learning, supervised and unsupervised: - Forecasting, Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Gradient algorithms etc
• Exposure to Neural Networks/Deep Learning Algorithms
• Good understanding of basic statistical techniques QC tools, ANOVA, Hypothesis, Chi Square tests
• Strong in Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)
• Working knowledge of PySpark
• Experience developing models in Azure ML and Azure Databricks
• Using innovative ideas to collect, curate or synthesize data
• Familiarity with machine learning frameworks (like Keras or TensorFlow)
• Very good knowledge on SQL-Joins, indexing, rank vs. dense rank, row number , stored procs, triggers, views, functions etc
• Proficient in SQL and Snowflake
• Optimize the solution for accuracy and performance
• Hands on Experience creating and deploying ML models
• Must be a self-starter with the ability to manage their own work.
• Demonstrated history of successful ML projects
• Good communication skills and team player
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