Senior Decision Scientist - Analytics & Experimentation

Reyes Holdings, L.L.C.; Niles (IL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Paid time off

Retirement benefits

Health screenings

Job summary

Reyes Holdings, L.L.C. seeks a data analytics professional to build predictive models and guide business decisions. You will design experiments, perform statistical analyses, and translate complex questions into actionable insights for stakeholders.

The role involves collaborating with AI and data engineering teams to integrate analytics into operations, aiding forecasting, pricing, and marketing effectiveness. Travel up to 25% and additional duties may apply.

Qualifications

• Bachelor’s Degree with 4–6 years of analytics, statistics, economics, or data science or High School Diploma/GED with 7–9+ years analytics experience.
• Proficiency in Python, R, SQL, or similar analytical tools.
• Experience with AI, Machine Learning NLP and emerging ML/DL technologies.

Responsibilities

• Develops advanced analytics and predictive models to support business decisions.
• Designs experiments and A/B tests and performs statistical analysis and forecasting.
• Translates complex business questions into analytical frameworks and delivers insights to stakeholders.
• Collaborates with applied AI and data engineering teams to integrate analytics into operational systems.
• Communicates insights clearly to business stakeholders.
• Travel up to 25%.
• Other projects or duties as assigned

Skills

Analytical thinking

Statistical analysis

Data-driven decision making

Communication with stakeholders

Education

Bachelor’s Degree or GED equivalent

Master’s Degree preferred

Tools

Python

R

SQL

PyTorch

TensorFlow

MLflow

Caffe

Snowflake

Databricks

Azure ML

Job description

Reyes Holdings, L.L.C. seeks a data analytics professional to build predictive models and guide business decisions. You will design experiments, perform statistical analyses, and translate complex questions into actionable insights for stakeholders.

The role involves collaborating with AI and data engineering teams to integrate analytics into operations, aiding forecasting, pricing, and marketing effectiveness. Travel up to 25% and additional duties may apply.