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Data Scientist

ZealoTech People
Greenville, SC Contractor
POSTED ON 8/3/2026 CLOSED ON 8/8/2026

What are the responsibilities and job description for the Data Scientist position at ZealoTech People?

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.


Salary : $50 - $55

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