Senior Data Scientist & AI Platform Lead

SWBC

Shavano Park (TX)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Competitive overall compensation package
Work/life balance
Career enhancement and growth opportunities

Job summary

SWBC is looking for a Senior Data Scientist to lead AI and machine learning initiatives. You will set the strategic direction for data science projects, mentor the Data Science team, and ensure our models are robust and aligned with business goals.

Qualified candidates will have a Master’s or Ph.D. in a quantitative field and at least five years of experience. The role involves collaborating with various teams and championing responsible AI practices, offering a competitive compensation package and growth opportunities.

Qualifications

  • Master’s or Ph.D. in a quantitative field such as Computer Science, Data Science, or Statistics.
  • Minimum five years of experience in data science with significant business impact.
  • Extensive experience with advanced machine learning techniques.

Responsibilities

  • Act as the technical lead for data science projects ensuring alignment with business objectives.
  • Develop and deploy AI/ML solutions leveraging AWS services.
  • Mentor the Data Science team and foster a culture of continuous learning.

Skills

Machine Learning Techniques
Python
Natural Language Processing
Cloud-based AI/ML platforms
MLOps
Data Governance
Statistical Analysis
Model Deployment

Education

Master’s or Ph.D. in a quantitative field

Tools

AWS SageMaker
TensorFlow
PyTorch
MLflow
Hex
Snowflake

Job description

SWBC is looking for a Senior Data Scientist to lead AI and machine learning initiatives. You will set the strategic direction for data science projects, mentor the Data Science team, and ensure our models are robust and aligned with business goals.

Qualified candidates will have a Master’s or Ph.D. in a quantitative field and at least five years of experience. The role involves collaborating with various teams and championing responsible AI practices, offering a competitive compensation package and growth opportunities.

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