Data & Analytics Developer II — Hybrid Forecasting & ML

WCL Group; Wade Hampton (SC); Hybrid; USD 63,000 - 73,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Greenville, SC-based Data & Analytics Developer II - Data Scientist role uses data and AI to help the team plan better and spot problems early. You’ll work between engineers, the business team, and IT to determine data needs, build models that answer “what if” questions, and translate results into clear executive dashboards.

You’ll work with tools like SAP, Salesforce, Databricks, Power BI, and P6 to track progress and inform decisions, collaborating with global teams across functions.

Qualifications

• Python (pandas, numpy, scikit-learn, scipy) for data analysis, statistical modeling, and ML
• SQL: querying, joining tables, and reading complex queries
• Foundational to intermediate ML experience (scikit-learn, XGBoost) and model validation metrics (R², MAE, RMSE, cross-validation)
• Experience building scenario planning and forecasting models
• Statistical analysis: modeling, hypothesis testing, and experimental design
• Experience cleaning and merging messy data from enterprise sources (SAP, Salesforce, Databricks, ERP/CRM)
• Familiarity with LLMs and basic prompt engineering
• Ability to read existing dashboards, models, and SQL to understand data flows and business logic
• Clear communicator who can explain technical findings to non-technical audiences; fluent in English
• Analytical, curious, self-motivated, and comfortable working with global teams

Responsibilities

• Analyze data from enterprise systems (SAP, Salesforce, Databricks, Power BI) to find patterns, gaps, and ways to improve
• Work with Program Managers and Operations leaders to decide what data is needed and how it should be used
• Clean and check large datasets (often 100k+ rows) and fix data defects across platforms
• Build and validate machine learning models for demand forecasting, scenario modeling, and prediction
• Build and maintain Python data pipelines for ETL, model training, and automated forecasting, working with Data Engineers
• Build "what-if" scenario planning models to test business assumptions such as demand, resource capacity, and cost
• Track project execution in P6 (Primavera) and other systems, compare plan to actual, and identify gaps, root causes, and trends
• Build automated tracking and data for executive dashboards that flag projects at risk
• Use LLMs and prompt engineering to build tools that automate workflows and support decisions
• Explain findings to technical and non-technical audiences, answer user questions about model outputs and data issues, and document model performance and data definitions

Skills

Python

SQL

ML/Statistical Modeling

Forecasting Models

Data Cleaning

LLMs / Prompt Engineering

Dashboard Reading

English Fluency

Communication

Analytical Thinking

Tools

P6 (Primavera)

MS Project

TensorFlow

PyTorch

MLflow

Azure

AWS

GCP

pytest

Power BI

Databricks

ERP/CRM

LLMs

Job description

Greenville, SC-based Data & Analytics Developer II - Data Scientist role uses data and AI to help the team plan better and spot problems early. You’ll work between engineers, the business team, and IT to determine data needs, build models that answer “what if” questions, and translate results into clear executive dashboards.

You’ll work with tools like SAP, Salesforce, Databricks, Power BI, and P6 to track progress and inform decisions, collaborating with global teams across functions.