Data Scientist

Vastika Inc; Grand Prairie (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Vastika Inc. in Grand Prairie, Texas, is seeking a Data Scientist for onsite work (Mon-Thu in office).

The role focuses on developing and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis while building scalable data pipelines for manufacturing and IoT data. You will leverage SQL and Python with Databricks/Snowflake on AWS or Azure, and translate model results into actionable guidance for operations and executives; relocation

Qualifications

• 5+ years of experience as Data Scientist with hands-on ML deployments.
• Strong SQL and Python proficiency with data lakehouse tech (Databricks, Snowflake, AWS or Azure).
• Proven track record building ML models for predictive maintenance, anomaly detection, demand forecasting, and RCA.

Responsibilities

• Build scalable cloud data pipelines for high-volume manufacturing and IoT data.
• Translate model outputs into clear recommendations for operations and executives.
• Design and run A/B experiments and simulations to validate process changes.

Skills

SQL

Python

Databricks

Snowflake

AWS

Azure

Tools

Databricks

Snowflake

AWS

Azure

Job description

Role: Data Scientist

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

Must Have

• 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.

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.