Sr.data Scientist

Amazech Solutions; Fort Worth (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Amazech is seeking a Sr. Data Scientist for Fort Worth, TX, onsite 3 days per week. The role requires 8+ years total and 3+ years DS/ML. You will build and deploy end-to-end ML solutions, collaborate with cross-functional teams, and advance data-driven decision making.

Qualifications include MS/PhD and strong Python, production ML pipelines, data extraction/analysis, and experience with Databricks/Spark and SQL. Visa: USC/GC/OPT /H4 EAD.

Qualifications

• MS/PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• Strong Python expertise with production-grade coding, modularization, testing, and performance tuning.
• Hands-on experience developing and productionizing ML pipelines, including deployment, orchestration, monitoring, and optimization.
• Experience with data extraction, cleaning, analysis, statistics, and machine learning techniques.

Responsibilities

• Build and deploy end-to-end machine learning solutions.
• Perform data extraction, cleaning, analysis, and feature engineering.
• Develop scalable Python-based ML pipelines.
• Deploy, monitor, and optimize production ML models.
• Collaborate with cross-functional technical and business teams.

Skills

Python

ML pipelines

Data extraction & cleaning

Statistics

Production monitoring

Education

MS/PhD in Data Science, CS, Statistics, Applied Mathematics

Tools

Databricks

Spark

SQL

Power BI

Tableau

Job description

Amazech is an enterprise technology company with 18+ years of experience building intelligent solutions across AI, cloud, data, and software engineering. We’ve partnered with 50+ enterprises nationwide and have been recognized twice on the INC 5000.

Position: Sr.Data Scientist

Location: Fort Worth, TX – 3 Days Onsite

Experience: 8+ Years Total | 3+ Years Data Science/ML

Visa: USC/GC/OPT /H4 EAD.

Must Have:

• MS/PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• Strong Python expertise with production-grade coding, modularization, testing, and performance tuning.
• Hands-on experience developing and productionizing ML pipelines, including deployment, orchestration, monitoring, and optimization.
• Experience with data extraction, cleaning, analysis, statistics, and machine learning techniques.

Nice to Have:

• Databricks / Spark
• SQL and large-scale datasets
• Power BI / Tableau
• Airline industry experience
• Consulting experience

Key Responsibilities:

• Build and deploy end-to-end machine learning solutions.
• Perform data extraction, cleaning, analysis, and feature engineering.
• Develop scalable Python-based ML pipelines.
• Deploy, monitor, and optimize production ML models.
• Collaborate with cross-functional technical and business teams.