Senior Data Scientist — Global Marketing Analytics & ML

Satori Analytics; Kentucky; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible hybrid model

Private health insurance

Training budget

Career growth

Team events

Modern tooling

Valued workforce

Job summary

Satori Analytics is seeking a Senior Data Scientist to design, build, and operate scalable data platforms for enterprise-grade analytics and AI initiatives. You will enable campaign measurement, customer insights, and AI initiatives by collaborating with Product, Engineering, Data Science, and Business teams.

You will craft robust ML pipelines, explore large datasets (EDA), and translate complex data challenges into actionable business outcomes while maintaining high-quality standards.

Qualifications

• 3+ years of experience in Data Science/ML roles.
• Strong Python coding practices and clean, maintainable code.
• Ability to translate business problems into ML/analytic solutions.
• Experience with ML pipelines and feature engineering.

Responsibilities

• Define business problems and translate them into data science solutions.
• Collect, clean, and analyze large datasets.
• Develop and optimize ML models and pipelines.
• Communicate findings to stakeholders and drive decision making.
• Collaborate with Product, Engineering, and Business teams to deploy models.
• Maintain and improve existing ML solutions.

Skills

Python

SQL

EDA

Model evaluation

Communication

Problem solving

Team collaboration

Education

Bachelor’s STEM degree

Master’s degree (Statistics/Data Science/OR)

Tools

pandas

scikit-learn

xgboost

lightgbm

catboost

Git

PyTorch

FastAPI

Docker

Job description

Satori Analytics is seeking a Senior Data Scientist to design, build, and operate scalable data platforms for enterprise-grade analytics and AI initiatives. You will enable campaign measurement, customer insights, and AI initiatives by collaborating with Product, Engineering, Data Science, and Business teams.

You will craft robust ML pipelines, explore large datasets (EDA), and translate complex data challenges into actionable business outcomes while maintaining high-quality standards.