Hybrid Dallas Data Scientist: ML, Insights & Modeling

SoftPathTechnologies; Dallas (TX); Hybrid; USD 110,000 - 140,000; Full time

Job summary

SoftPathTechnologies in Dallas, TX is seeking a Contract Data Scientist to analyze large-scale datasets, build predictive models, and deliver actionable insights for business problems.

The role operates on a hybrid schedule with three days onsite per week at our Dallas facility, requiring strong Python or R, SQL, and experience with ML libraries.

You will collaborate with data engineering, product management, and business teams to translate analytics into strategic recommendations.

Qualifications

• 3–5+ years of hands-on data science, predictive modeling, and ML in business settings.
• Strong Python or R and advanced SQL for data extraction.
• Experience with Pandas, NumPy, Scikit-learn, XGBoost, and DL frameworks (PyTorch/TensorFlow).
• Familiarity with Tableau/Power BI/Matplotlib/Seaborn.

Responsibilities

• Perform Exploratory Data Analysis and build predictive models.
• Design robust data pipelines and feature engineering for model efficiency.
• Translate model outputs into intuitive visualizations and insights for stakeholders.
• Monitor model performance in production to ensure accuracy and fairness.
• Collaborate with data engineering, product, and business teams.

Skills

Python

SQL

R

Pandas

NumPy

Scikit-learn

XGBoost

PyTorch

TensorFlow

Tableau

Power BI

AWS

Azure

GCP

Education

Bachelor's degree in Data Science, Statistics, CS, or related field

Master's degree in Data Science, Statistics, CS, or related field

Tools

Git

CI/CD

Job description

SoftPathTechnologies in Dallas, TX is seeking a Contract Data Scientist to analyze large-scale datasets, build predictive models, and deliver actionable insights for business problems.

The role operates on a hybrid schedule with three days onsite per week at our Dallas facility, requiring strong Python or R, SQL, and experience with ML libraries.

You will collaborate with data engineering, product management, and business teams to translate analytics into strategic recommendations.