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Senior Decision Scientist

Reyes Holdings

Niles, ILJobSeen 2w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Niles, IL
Work Authorization
Not specified

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Job overview

The Senior Decision Scientist focuses on advanced analytics, experimentation, and decision modeling to guide business strategy, translating complex questions into analytical frameworks, developing predictive models, designing experiments, and communicating insights while collaborating with AI and data engineering teams and traveling up to 25% of the time.

Skills & qualifications

RequiredNice to have

Skills

PythonRSQLAIMachine LearningNLPPyTorchTensorFlowMLflowCaffeSnowflakeDatabricksAzure ML Cloud Services

Qualifications

Bachelor's Degree With 4-6 Years Experience or High School Diploma/ GED With 7-9+ Years ExperienceMaster's DegreeExperience in Consumer-Packaged Goods or Supply Chain

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match

Full 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.

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