Responsibilities:

Pay Transparency Statement: 

The compensation philosophy reflects the Company’s reasonable expectation at the time of posting. We consider a number of factors when making individual compensation decisions including, but not limited to, skill sets, experience and training, and other business needs.  This role may also be eligible to participate in a discretionary incentive program, subject to the rule governing the program.

Position Summary:  

The Senior Data Scientist has a solid understanding of advanced analytics and will be responsible for refining existing statistical/machine learning models and developing new ones to support business. Will partner with direct team members as well as cross-functional partners and decision makers. This person’s primary tasks will be to develop, refine, deploy, and productionize impactful data science projects for business users.  Additionally, should provide technical guidance for the team members, when necessary.  

Position Responsibilities may include, but not limited to: 

Identify best or most applicable analytical techniques for a given business problem

Develop and deploy statistical and machine learning models to address business problems using Python and others

Maintain and refine existing models and related processes

Utilize statistical or time-series models to make predictions on future outcomes in multiple scenarios

Implement models and create processes to monitor their performance, including input data integrity

Employ data visualization tools and codes where appropriate via Power BI and others

Partner with IT / BI / Data teams to ensure data used for modeling accurately reflects business reality

Effectively communicate model approaches, outputs, and findings to technical and non-technical audiences

Document projects including business objectives, data gathering/processing, approaches and algorithms, and detailed set of results and analytical metrics

Ensure modeling processes always conform to IT security standards

Qualifications:

Required Skills and Experience: 

Bachelor’s Degree in Analytics, Data Science, Operations Research, Statistics, or other related quantitative discipline

4+ years’ experience in data science, advanced analytics, or quantitative/computational functions

Deployed regression, time-series, and machine learning models in Python or other languages, for a variety of business problems

Working knowledge in analytical techniques such as multivariate regression, time series, classification methods, Bayesian methods, or neural networks

Experiences in databases and SQL and in big data/cloud platforms such Azure, Databricks, Snowflake, and Spark

Experiences in data visualization tools such as Power BI for reporting model outputs, data trends, business issues, or exceptions

This position must pass a post-offer background and drug test

Preferred Skills and Experience: 

Experience in Blue Yonder

Experience in consumer-packaged goods or distribution/wholesale

Physical Demands and Work Environment:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  Due to the nature of our business in regard to such things as delivery schedules, order inputs, selection, and Department of Transportation Hours of Service, overtime, attendance and punctuality are essential job functions.  Should an individual in this classification not be able to adhere to this requirement due to a disability, they should contact their Human Resources department to see what, if any, reasonable accommodation may be made. 

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.