Experience level: 8-10 years
Level: SSE/TL
Work Location: Dallas, TX, WFO
Job Description for Data Scientist:
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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
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Exposure to Neural Networks/Deep Learning Algorithms
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Good understanding of basic statistical techniques QC tools, ANOVA, Hypothesis,
Chi Square tests
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Strong in Python, analytical packages/libraries like Pandas, Scikit-learn,
Seaborn, matplotlib, numpy etc)
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Working knowledge of PySpark
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Experience developing models in Azure ML and Azure Databricks
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Using innovative ideas to collect, curate or synthesize data
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Familiarity with machine learning frameworks (like Keras or TensorFlow)
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Very good knowledge on SQL-Joins, indexing, rank vs. dense rank, row number ,
stored procs, triggers, views, functions etc
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Proficient in SQL and Snowflake
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Optimize the solution for accuracy and performance
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Hands on Experience creating and deploying ML models
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Must be a self-starter with the ability to manage their own work.
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Demonstrated history of successful ML projects
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Good communication skills and team player
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