Data Analyst / Scientist

Temporary

Kforce 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 audiences
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 Owners

Preferred (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); Snowflake

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Vacancy posted 2 days ago

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