Senior Data Scientist — On-Site Analytics Leader (Austin)

myBridge Corporation; Austin (TX); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

401K

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Job summary

myBridge Corporation seeks a Senior Data Scientist to lead advanced data science initiatives. You will develop machine learning models, statistical analyses, and predictive algorithms to transform complex datasets into actionable business insights.

You will collaborate with data engineers, software developers, product managers, and stakeholders to identify opportunities where analytics and AI can boost business performance.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related technical discipline.
• Experience working with structured and unstructured data.
• Design and conduct experiments; evaluate model performance.
• Deploy analytical solutions into production environments; mentor junior data scientists.

Responsibilities

• Develop and deploy machine learning and predictive models.
• Analyze large and complex datasets to identify meaningful trends and patterns.
• Design statistical experiments and evaluate business outcomes.
• Build forecasting, classification, recommendation, and optimization models.
• Collaborate with engineering teams to productionize data science solutions.
• Develop dashboards, reports and analytical presentations for stakeholders.

Skills

Python

R

SQL

Statistics

Machine learning

Deep learning

Education

Bachelor's or Master's in Data Science / CS / Stats / Math / AI

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

AWS

Azure

Google Cloud

Job description

myBridge Corporation seeks a Senior Data Scientist to lead advanced data science initiatives. You will develop machine learning models, statistical analyses, and predictive algorithms to transform complex datasets into actionable business insights.

You will collaborate with data engineers, software developers, product managers, and stakeholders to identify opportunities where analytics and AI can boost business performance.