Data Scientist

Job Title:

Data Scientist / Machine Learning Engineer

Location:

San Antonio / Plano, TX

Experience

: Mid–Senior Level

*We are looking for candidates who can work on W2\.**

About the Role

We are looking for a talented

Data Scientist / ML Engineer

to design, build, and deploy advanced analytical models that drive business insights. This role requires hands-on expertise in

machine learning workflows, model development, and production deployment

, along with strong coding and problem-solving skills.

Key Responsibilities

• Design, develop, and test

advanced machine learning models

to solve complex business problems

• Build and manage

end-to-end ML workflows

, including data preparation, modeling, deployment, and monitoring

• Analyze and process

structured and unstructured data

to generate actionable insights

• Select appropriate modeling techniques based on data, use case, and business requirements
• Develop scalable models for

high-volume data environments

, including clickstream and session-level analytics

• Implement and optimize models using techniques such as:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, XGBoost
• SVM, Gradient Boosting, Bayesian models
• Build

deep learning models

using frameworks like

TensorFlow, Keras, or PyTorch

• Apply

NLP and text analytics

using tools like

NLTK and SpaCy

• Ensure model

governance, monitoring, and performance tracking

in production

• Collaborate with cross-functional teams and communicate insights effectively
• Contribute to building modular, reusable, and high-quality analytics code

Required Skills \& Qualifications

• Strong hands-on experience in

Machine Learning model development and workflows

• Proficiency in

Python, R, and SQL

• Experience with Python libraries such as:
• NumPy, SciPy, Scikit-learn
• Exposure to

deep learning frameworks

(TensorFlow / PyTorch / Keras)

• Experience in

model deployment, governance, and monitoring

• Strong understanding of

data science lifecycle and best practices

• Familiarity with

NLP / Text Analytics

• Ability to build

clean, efficient, and testable code

• Excellent communication and problem-solving skills

Nice to Have

• Experience with

clickstream or large-scale behavioral data

• Exposure to

GUI-based analytics tools or application interfaces

• Experience working in

Agile environments