DescriptionKforce has a client that is seeking a Data Analyst/Scientist to join their team. This is a hybrid position working 4 days in office and 1 day from home.We're Looking For:* Scopes ambiguous business asks into clear, deliverable data problems without heavy handholding* Ships production-quality pipelines and dashboards, not one-off scripts* Monitors what you deploy - catches drift and issues before others do* Comfortable presenting findings to non-technical and VP-level audiencesRequirements* Python: pandas, NumPy, scikit-learn, plus at least one of statsmodels, TensorFlow, or PyTorch* SQL Server and Oracle (Snowflake a plus)* Tableau - usability, performance, executive-ready dashboards* Splunk - SPL searches and dashboards from operational data* Statistical inference and hypothesis testing on large, messy operational data* ML fundamentals: classification, regression, clustering, tree-based models* Git/GitLab version control and maintainable, documented code* Strong communication - regularly interfaces with VPs and Product OwnersPreferred (Nice to Have):* Telecom/cable or call-center operations background* NLP: transformers, HuggingFace, topic modeling, embeddings/semantic search* MLOps: Prefect, Airflow, Docker, GitLab CI/CD* Time series analysis on high-volume event data* Vector databases: ChromaDB, Pinecone, FAISS* Alteryx (supporting migration to Python), Streamlit, REST APIs (Jira/Tableau/Splunk)* Cloud data platforms (GCS, AWS, or Azure); SnowflakeJob TypeContractCompensation46 - $62
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