ZealoTech People

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data & Analytics (D&A) Developer II in Greenville, SC, on a contract for 1+ year. Key skills include Python, SQL, Machine Learning, and Power BI. Experience in manufacturing or finance is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date
August 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Greenville, SC
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🧠 - Skills detailed
#Data Science #TensorFlow #Databricks #Microsoft Power BI #Azure #Data Engineering #Pandas #"ETL (Extract #Transform #Load)" #Visualization #Data Cleaning #GCP (Google Cloud Platform) #SAP #ML (Machine Learning) #AWS (Amazon Web Services) #PyTorch #Python #Data Pipeline #MLflow #AI (Artificial Intelligence) #Datasets #Forecasting #Data Quality #BI (Business Intelligence) #SQL (Structured Query Language) #NumPy
Role description
Job Title: Data & Analytics (D&A) Developer II Location: Greenville, SC 29615 Position: Contract (1+ year) Job Description We are seeking a Data & Analytics (D&A) Developer II to support enterprise data analytics, machine learning, and AI initiatives. The ideal candidate will act as the bridge between business, engineering, operations, and IT teams by transforming complex data into actionable insights and predictive models that drive business decisions. Key Responsibilities Analyze large datasets from enterprise systems using Python and SQL. Develop and deploy Machine Learning models for forecasting, predictive analytics, and scenario planning. Build and maintain ETL/data pipelines and collaborate with Data Engineers. Create dashboards and reports using Power BI and other visualization tools. Perform data cleaning, validation, and quality analysis across multiple data sources. Translate business requirements into technical data solutions. Work with stakeholders to identify trends, risks, and opportunities using analytics. Utilize LLMs and Prompt Engineering to develop AI-driven business solutions. Support executive reporting and business planning through data-driven insights. Required Skills • Python (Pandas, NumPy, Scikit-Learn) • SQL • Machine Learning • Statistical Analysis • Predictive Analytics • Forecasting • Data Visualization (Power BI) • ETL/Data Pipelines • Data Cleaning & Data Quality • Strong analytical and problem-solving skills • Preferred Skills • Databricks • SAP • Salesforce • Azure / AWS / GCP • TensorFlow / PyTorch / XGBoost • LLMs, Prompt Engineering, RAG • Primavera P6 or MS Project • MLflow / MLOps Preferred Background Candidates with experience in Data Science, Machine Learning, Business Intelligence, Advanced Analytics, Data Engineering, or AI within manufacturing, energy, engineering, aerospace, utilities, finance, or other enterprise environments are highly preferred.