PL
Data Scientist
PeopleNTech LLC
🇺🇸 United States
On-site
2 months ago
- SQL
- Python
- Databricks
- Snowflake
- AWS
- Azure
- IoT
- Airflow
- Delta Lake
- SCADA
- ERP
- OPC UA
- MQTT
- Modbus
- Six Sigma
- SPC
- Lean
- scikit-learn
- TensorFlow
- PyTorch
- Health insurance
- Pension
2 months ago
Location:Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration:Fulltime Employee
Numbers of Interview: 3 to 4
Mode of Interviews – Virtual
Tentative start date – ASAP
Note: Relocation assistance will be provided byNagarro.
USD $148,500 ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. (No bar for a right candidate - please negotiate best and submit)
As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes:
- Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).
- 15 days of Paid Time Off (PTO).
- 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
- 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).
- 5+years of experience requiredasData Scientist(No limit for a right candidate)
- StrongSQL andPython proficiency with hands-on experience in medallion/Lakehouse architectures onDatabricks,Snowflake,AWS, orAzure.
- Data Science Proven track record building and deployingMLmodels for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.
Job Overview:
- 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.
Good to have skills:
- 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.
Data Scientist · PeopleNTech LLC