Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/hr
MSP Owner: Shilpa Bajpai
Location: Tampa, FL- 100% onsite
Duration: 6 months
skill id: 10741497
Role: Data Science/ML
Skills: Digital : Data Science~Digital : Python~Digital : Apache Spark
Experience Required: 6-8
Role Descriptions:
Programming Libraries Expert-level proficiency in Python and its core data science libraries (Pandas| NumPy| Scikit-learn).
Strong proficiency in SQL for complex data extraction and manipulation.
Machine Learning Frameworks Hands-on experience with modern deep learning frameworks such as TensorFlow or PyTorch.
Statistical Modeling Deep understanding of statistical concepts and a wide range of machine learning algorithms| with proven experience in time-series forecasting and anomaly detection.
Big Data Technologies Demonstrable experience working with large datasets using distributed computing frameworks| specifically Apache Spark.
Database Systems Experience querying and working with data from multiple relational database systems (e.g.| PostgreSQL| Oracle| MS SQL Server).
Cloud Platforms Experience building and deploying data science solutions on a major cloud platform (AWS| GCP| or Azure).
Familiarity with their native ML services (e.g.| AWS SageMaker| Google Vertex AI) is a strong plus.
MLOps Tooling Practical experience with MLOps principles and tools for model versioning| tracking| and deployment (e.g.| MLflow| Docker).
Communication and Storytelling Excellent verbal and written communication skills| with a proven ability to explain complex technical concepts to a non-technical audience through visual storytelling., Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/hr
MSP Owner: Shilpa Bajpai
Location: Tampa, FL- 100% onsite
Duration: 6 months
skill id: 10741497
Role: Data Science/ML
Skills: Digital : Data Science~Digital : Python~Digital : Apache Spark
Experience Required: 6-8
Role Descriptions:
Programming Libraries Expert-level proficiency in Python and its core data science libraries (Pandas| NumPy| Scikit-learn).
Strong proficiency in SQL for complex data extraction and manipulation.
Machine Learning Frameworks Hands-on experience with modern deep learning frameworks such as TensorFlow or PyTorch.
Statistical Modeling Deep understanding of statistical concepts and a wide range of machine learning algorithms| with proven experience in time-series forecasting and anomaly detection.
Big Data Technologies Demonstrable experience working with large datasets using distributed computing frameworks| specifically Apache Spark.
Database Systems Experience querying and working with data from multiple relational database systems (e.g.| PostgreSQL| Oracle| MS SQL Server).
Cloud Platforms Experience building and deploying data science solutions on a major cloud platform (AWS| GCP| or Azure).
Familiarity with their native ML services (e.g.| AWS SageMaker| Google Vertex AI) is a strong plus.
MLOps Tooling Practical experience with MLOps principles and tools for model versioning| tracking| and deployment (e.g.| MLflow| Docker).
Communication and Storytelling Excellent verbal and written communication skills| with a proven ability to explain complex technical concepts to a non-technical audience through visual storytelling., Project Code :