Data Scientist II: AI/ML Engineer for Enterprise Impact

SWBC; Shavano Park (TX); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive overall compensation package

Work/Life balance

Career enhancement and growth opportunities

Variety of healthcare coverage options

401(k) retirement plans

Job summary

SWBC is looking for a talented Data Scientist II in Texas, responsible for developing machine learning models and analytical solutions that enhance business performance. This role requires proficiency in Python and SQL, with a strong focus on building AI-driven capabilities within a modern cloud-native data ecosystem.

The ideal candidate will work with cutting-edge tools and collaborate closely with Senior Data Scientists and Analysts to deliver impactful outcomes. Benefits include a competitive compensation package and career growth opportunities.

Qualifications

• Minimum of two years of experience in data science, analytics, or machine learning roles.
• Experience developing and deploying models within cloud‑based AI/ML platforms.
• Ability to work with structured and semi-structured data, perform data cleaning, and conduct exploratory analysis.

Responsibilities

• Design, develop, and deploy machine learning models and analytical solutions.
• Build and maintain ML/AI experiment workflows.
• Collaborate with cross‑functional teams to translate business problems into data science solutions.

Skills

Python

SQL

Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)

Data analysis

Communication skills

Education

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related discipline

Tools

AWS (SageMaker, S3)

MLflow

Hex

Snowflake

Job description

SWBC is looking for a talented Data Scientist II in Texas, responsible for developing machine learning models and analytical solutions that enhance business performance. This role requires proficiency in Python and SQL, with a strong focus on building AI-driven capabilities within a modern cloud-native data ecosystem.

The ideal candidate will work with cutting-edge tools and collaborate closely with Senior Data Scientists and Analysts to deliver impactful outcomes. Benefits include a competitive compensation package and career growth opportunities.