Data & Analytics (D&A) Developer II

RISINGSUN TECHNOLOGIES is hiring a Data & Analytics Developer II to support engineering operations, business planning, and program reporting. The role develops analytics and AI/ML solutions for forecasting, resource planning, and project execution, while connecting business and engineering requirements with data and IT teams.

Responsibilities

• Analyze enterprise data from SAP, Salesforce, Databricks, Power BI, labor, and finance systems to identify patterns, gaps, and improvement opportunities
• Clean, integrate, and validate structured and unstructured datasets, including datasets exceeding 100,000 rows
• Develop and validate machine learning models for demand forecasting, scenario planning, and predictive analytics
• Build and maintain Python pipelines for ETL, model training, and automated forecasting
• Create what-if models to evaluate demand, resource capacity, costs, and alternative planning outcomes
• Track project performance through Primavera P6 and other enterprise systems; analyze variances in hours, budgets, and timelines
• Support executive dashboards, KPI reporting, and early identification of project risks
• Review existing dashboards, SQL queries, semantic models, and data pipelines to improve reporting and modeling assets
• Apply LLMs and prompt engineering to support decision-making and workflow automation
• Document models, data definitions, and findings; communicate insights, progress, risks, and dependencies to stakeholders

Skills

• Strong Python proficiency: pandas, NumPy, scikit-learn, SciPy, curve fitting, and object-oriented programming
• Strong SQL skills, including complex query interpretation, joins, and data manipulation
• Statistical modeling, hypothesis testing, and experimental design
• Foundational to intermediate machine learning experience using scikit-learn, XGBoost, or similar tools
• Model evaluation using R², MAE, RMSE, cross-validation, and custom scoring functions
• Scenario planning, forecasting, and what-if analysis
• Data exploration, cleaning, integration, anomaly detection, and data lineage analysis
• Understanding of semantic data models and heterogeneous enterprise systems
• Familiarity with LLMs and basic prompt engineering
• Ability to interpret existing dashboards, models, and business logic and collaborate with Data Engineers
• Strong analytical thinking, stakeholder communication, ownership, and learning agility
• Fluent written and spoken English; ability to collaborate across international teams and time zones
• TensorFlow, PyTorch, neural networks, or deep learning
• Pytest or similar testing frameworks
• Primavera P6, MS Project, or similar project execution tools
• MLOps, MLflow, Weights & Biases, and deployment fundamentals
• Azure, AWS, or GCP
• LLM fine-tuning, RAG, or agent frameworks
• Data governance and responsible AI practices
• Hands-on enterprise data experience with SAP, Salesforce, or Databricks
• Additional language proficiency

Benefits

• Hybrid work arrangement in Greenville, SC, or Atlanta, GA.

Company Overview

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