Staff Data Science Consultant – Retail Planning Solutions

Title: Staff Data Science Consultant – Retail Planning Solutions

Location: Currently located in US or Canada

Travel: Ability to travel across North America up to 50%

Overview: Blue Yonder’s Professional Services team is seeking a Staff Data Science Consultant (DSC) to join our Retail Planning Solutions group. In this role, you’ll partner with customers to unlock the full value of their business through data-driven insights and intelligent decision support. You’ll serve as a trusted advisor by recommending software configuration options, implementing optimized solutions, and ensuring our customers achieve maximum value from their Blue Yonder investments.

What you’ll do:

• Algorithm Development: Design, develop, and test algorithms, models, and solution approaches to address business issues with minimal supervision.
• Prototype Development: Create prototypes and proofs of concept for new features to demonstrate feasibility and effectiveness.
• Integration and Implementation: Embed models and algorithms into product solutions, ensuring operational aspects and client usability are prioritized.
• Mentorship: Provide guidance and mentorship to junior data scientists and data analysts within the team.
• Quality Assurance: Develop high-quality code and tests, adhering to clean code principles and Blue Yonder’s standards.
• Customer Collaboration: Engage with clients to understand their needs, present findings, and implement tailored solutions that drive business value.
• Continuous Improvement: Stay abreast of advancements in technology and methodologies to continuously improve the team’s capabilities.

Technical Environment:

• Advanced machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Big data processing tools (e.g., Hadoop, Spark) and cloud computing platforms (AWS, Azure, Google Cloud)
• Proficiency in programming languages such as Python and R
• Experience with CI/CD pipelines for efficient deployment of machine learning models
• Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI)

What we are looking for:

• Advanced degree (PhD or Master’s) in Computer Science, Data Science, Operations Research, Statistics, or a related discipline
• 8+ years of experience applying data science to solve real-world challenges, with deep expertise in machine learning and operations research in a professional work setting
• Proficiency in Python or R, with hands-on experience using modern frameworks such as TensorFlow or PyTorch
• Proven track record of leading data-driven projects and mentoring teams to deliver impactful business outcomes
• Exceptional ability to translate complex technical concepts into insights that inspire understanding and action across diverse audiences
• Recognized thought leadership through publications, patents, or conference contributions is a strong plus
• Experience in Retail Supply Chain Management or related domains is highly desirable

Comparable title: Staff Data Sciene Consultant I – Consulting

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The annual salary range for this position is USD $107,321.00 - $143,896.18

The salary range information provided, reflects the anticipated base salary range for this position based on current national data.  Minimums and maximums may vary based on location.  Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors.  In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: 

• Comprehensive Medical, Dental and Vision 

• 401K with Matching 

• Flexible Time Off 

• Corporate Fitness Program 

• A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the