- LinkedIn (San Francisco, CA)
- …data visualization techniques + Data infrastructure design and Architecture + Proficient in SQL , Python, and data platforms (eg Hadoop, HDFS) + Familiarity with data ... modeling, ETL /ELT, and modern data stack tools (eg, dbt, Airflow, Snowflake). + Understanding of AI and Machine Learning lifecycle and MLOps Suggested Skills: +… more
- Intuit (Mountain View, CA)
- …and programming languages such as Python, Scala, Java and/or R. + Efficient in SQL , Hive, SparkSQL, etc. + Comfortable working in a Linux environment + Experience ... them "model-ready". You need to be willing and able to do your own ETL and design/build featurization. + Applies data mining, NLP, and machine learning (such as… more
- PennyMac (Westlake Village, CA)
- …the value delivered to the business + Hands on role; must be proficient in SQL and Python (5 - 7 years experience) + Hands-on experience with AWS. + Experience ... with ETL tools and orchestration frameworks. + Create and maintain the data pipelines essential for analyzing financial performance, optimizing cloud costs, and… more
- Meta (Menlo Park, CA)
- …mining on highly complex data sets 12. 2. Data querying language(s) including SQL 13. 3. Scripting language(s) including Python 14. 4. Statistical or mathematical ... testing, in an industry setting 16. 6. Machine learning techniques 17. 7. ETL (Extract, Transform, Load) processes 18. 8. Relational databases 19. 9. Large-scale… more
- Humana (Sacramento, CA)
- …Design + Experience collaborating with MLOps and DevOps teams + Proficiency in SQL , Python, and data analysis/data mining tools + Experience with machine learning ... transformers + Experience with reinforcement learning + Experience with large-scale ETL **Preferred Qualifications** + Ph.D. in Computer, Science, Data Science,… more
- Meta (Menlo Park, CA)
- …data mining on highly complex data sets 12. 2. Data querying language: SQL 13. 3. Scripting language: Python 14. 4. Statistical or mathematical software including ... testing, in an industry setting 16. 6. Machine learning techniques 17. 7. ETL (Extract, Transform, Load) processes 18. 8. Relational databases 19. 9. Large-scale… more
- Meta (Menlo Park, CA)
- …highly complex data sets 12. 3. Data querying language: Strong proficiency in SQL 13. ability to write efficient, complex queries to retrieve, analyze, and process ... as A/B testing and causal inference, in an industry setting 17. 7. ETL (Extract, Transform, Load) processes 18. 8. Relational databases: strong understanding of… more
- Meta (Menlo Park, CA)
- …data mining on highly complex data sets 14. 2. Data querying language: SQL 15. 3. Scripting language: Python 16. 4. Statistical or mathematical software including ... testing, in an industry setting 18. 6. Machine learning techniques 19. 7. ETL (Extract, Transform, Load) processes 20. 8. Relational databases 21. 9. Large-scale… more
- Meta (Menlo Park, CA)
- …data mining on highly complex data sets 11. 2. Data querying language: SQL 12. 3. Scripting language: Python 13. 4. Statistical or mathematical software including ... testing, in an industry setting 15. 6. Machine learning techniques 16. 7. ETL (Extract, Transform, Load) processes 17. 8. Relational databases 18. 9. Large-scale… more
- Meta (San Francisco, CA)
- …10. 1. Machine learning techniques 11. 2. Working with large data sets 12. 3. ETL (Extract, Transform, Load) Processes 13. 4. Relational Database ( SQL or MySQL) ... 14. 5. Development using a Scripting Language (Python, JavaScript or PHP) 15. 6. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics 16. 7. Communicating and… more