Data Scientist

MACHINE LEARNING TECHNOLOGIES LLC; Fort Worth (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Data Scientist in Fort Worth, TX. The role focuses on developing, deploying, and optimizing machine learning models in production, with strong emphasis on Python programming and data engineering.

The candidate will build end-to-end ML pipelines, perform data extraction and analysis, and collaborate with cross-functional teams to deliver data-driven solutions. Familiarity with SQL, Databricks, and Spark is essential.

Qualifications

• Strong expertise in Python programming, ML, statistical analysis, and data engineering.
• Experience developing, deploying, and optimizing machine learning models in production environments.

Responsibilities

• Develop and implement machine learning models and algorithms.
• Perform data extraction, cleaning, transformation, and analysis.
• Build and maintain end-to-end ML pipelines.
• Develop production-ready applications using Python.
• Perform feature engineering and statistical analysis.
• Deploy, monitor, and optimize machine learning models.
• Work with large datasets using SQL, Databricks, and Spark.
• Implement ML automation and model monitoring processes.
• Collaborate with cross-functional teams to deliver data-driven solutions.

Skills

Python programming

Machine Learning

Statistical analysis

Data engineering

Tools

SQL

Databricks

Spark

Job description

Job Overview

Job ID: J53432

Job Title: Data Scientist

Location: Fort Worth, TX

Duration: 12 Months + Extension

Domain Exposure: Utilities/ Energy

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Summary

We are looking for an experienced Data Scientist with strong expertise in Python programming, Machine Learning, statistical analysis, and data engineering. The ideal candidate should have hands-on experience developing, deploying, and optimizing machine learning models in production environments.

Key Responsibilities

• Develop and implement machine learning models and algorithms.
• Perform data extraction, cleaning, transformation, and analysis.
• Build and maintain end-to-end ML pipelines.
• Develop production-ready applications using Python.
• Perform feature engineering and statistical analysis.
• Deploy, monitor, and optimize machine learning models.
• Work with large datasets using SQL, Databricks, and Spark.
• Implement ML automation and model monitoring processes.
• Collaborate with cross-functional teams to deliver data-driven solutions.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.