Senior Decision Scientist

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

Position Responsibilities:

• Focuses on advanced analytics, experimentation, and decision modeling to guide business strategy

• Translates complex business questions into analytical frameworks and delivers insights that improve forecasting, pricing, marketing effectiveness, and operational performance

• Develops advanced analytics and predictive models to support business decisions

• Designs/runs experiments and A/B tests and performs statistical analysis, causal inference, and forecasting

• Communicates insights clearly to business stakeholders

• Collaborates with applied AI and data engineering teams to integrate analytics into operational systems

• Travel up to 25%.

• Other projects or duties as assigned

  Required Education and Experience:

• Bachelor’s Degree with 4 to 6 years of experience in analytics, statistics, economics, or data science or High School Diploma/General Education Degree (GED) and 7 to 9 plus years of experience in analytics, statistics, economics, or data science

• Proficiency in Python, R, SQL, or similar analytical tools

• Work experience in AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

• Experience with machine learning/AI via frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

• Experience with Snowflake, Databricks, Azure ML Cloud Services

  Preferred Education and Experience:

• Master’s Degree

• Experience in consumer-packaged goods or supply chain

Benefits

At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.

Equal Opportunity Employee & Physical Demands

Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.

Background Check and Drug Screening

Offers of employment are contingent upon successful completion of a background check and drug screening.

Pay Transparency

Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation and gender identity, national origin, disability, or protected veteran status. Drug Free Workplace.