

Veridian Tech Solutions, Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a Contract-W2 basis, remote (USA) with 25%–30% travel. Requires 8–10 years of experience, including 2–3 years in manufacturing, proficiency in SQL, Python, and experience with cloud data pipelines and ML model deployment.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Deployment #"ETL (Extract #Transform #Load)" #Data Extraction #Time Series #Forecasting #TensorFlow #AWS (Amazon Web Services) #PyTorch #Azure #Kafka (Apache Kafka) #Data Engineering #Cloud #Spark (Apache Spark) #MQTT (Message Queuing Telemetry Transport) #Lean #IoT (Internet of Things) #SQL (Structured Query Language) #Clustering #ML (Machine Learning) #Regression #Data Science #Python #Data Pipeline #Anomaly Detection #Snowflake #Delta Lake #Databricks #Scala #Airflow
Role description
Hi,
Hope you are doing good!
We have a Contract-W2 opportunity for you as Data Scientist @ Remote (USA), with 25%–30% Travel
Role: Data Scientist
Locations: Remote (USA), with 25%–30% Travel
Type of Hiring: Contract-W2
Job Description:
• 8–10 years of experience as a Data Scientist, with 2–3 years in manufacturing (preferred)
• Hands-on 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.
• Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• 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.
• Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.
• Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.
• Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.
Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.
Hi,
Hope you are doing good!
We have a Contract-W2 opportunity for you as Data Scientist @ Remote (USA), with 25%–30% Travel
Role: Data Scientist
Locations: Remote (USA), with 25%–30% Travel
Type of Hiring: Contract-W2
Job Description:
• 8–10 years of experience as a Data Scientist, with 2–3 years in manufacturing (preferred)
• Hands-on 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.
• Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• 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.
• Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.
• Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.
• Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.
Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.






