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# Data Scientist

- **Company:** Peoplentech Llc
- **Location:** Sandy Springs, GA, United States
- **Experience:** Experienced
- **Salary:** $148,500.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Information Engineering, Supervisory Control and Data Acquisition (SCADA), Statistical Hypothesis Testing, Python (Programming Language), Modbus, Message Queuing Telemetry Transport (MQTT), Tensorflow, Standard Sql, OPC Unified Architecture, Statistical Process Control (SPC), SQL Databases, Scripting, Pytorch, Snowflake, Apache Spark, Data Lakes, Information Technology, Real Time Data, Apache Kafka, Machine Learning Operations, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-atlanta-ga--7aa28d08-a8b9-4d8c-97ad-cd567ee95671

## About the Role

Mathematical Science Occupations, All Other

Skills

Data Science, Health Plan, Data Science, Python Programming/Scripting Language, Microsoft Windows Azure, SQL (Structured Query Language), Amazon Web Services (AWS), Demand Forecasting/Planning, Root Cause Analysis, Predictive Modeling, * 5+ years of experience required as Data Scientist(No limit for a right candidate)

 * Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
 * Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis., * 2-4 years working in manufacturing domain.
 * Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
 * Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
 * Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.
 * Solid grounding in statistical methods - time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.

## Description

* Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
 * Strong communicator - able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.
 * Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.