Upshop is the market leader in AI-Powered, Total Store Operations solutions for the grocery & convenience store markets. We are based in Tampa, FL, with an entirely virtual team spread across the US and the UK. We’re an exciting, fast-moving company who, through our commitment to a connected, user-focused platform, helps our customers increase operational profitability by right-sizing inventory, reducing shrink, and increasing sales across all departments. Our Total Store Operations suite includes solutions for Fresh Item Management, Computer Assisted Ordering, DSD Management, Task Management, eCommerce Fulfillment Orchestration, and Expiration Date Management.  We have a reputation as both a great partner to our more than 150 customers covering 30,000+ locations, as well as a great place to work. 

We are seeking a highly skilled and experienced Senior-level Data Scientist with expertise in leveraging AI/ML to enhance forecasting solutions and drive business decision-making. As a key member of our tech SaaS company specializing in retail software solutions, you will be responsible for developing and implementing cutting-edge AI/ML models and algorithms to enhance our grocery retail solutions. The ideal candidate will have at least five years of hands-on experience in the field, a strong background in AI/ML, and a proven track record of delivering successful ML-driven solutions in business domains.

Key Responsibilities:

• Develop and implement advanced AI/ML models and algorithms tailored to grocery retail and forecasting, with a focus on demand forecasting, inventory management optimization, and pricing.
• Analyze large and complex datasets to identify trends, patterns, and insights that drive business performance and inform strategic decision-making.
• Collaborate closely with cross-functional teams, including software engineers, product managers, and domain experts, to define project requirements and deliver solutions that meet business objectives.
• Be a major contributor to end-to-end data science projects, from problem formulation and data collection to model development, evaluation, and deployment.
• Continuously monitor and improve the performance of AI/ML models through iterative testing, optimization, and validation.
• Stay up to date with the latest advancements in AI/ML technologies, tools, and techniques, and identify opportunities to apply them to improve our grocery retail software solutions.
• Communicate complex findings and technical concepts effectively to both technical and non-technical stakeholders, including presentations, reports, and visualizations.

Required Qualifications and Skills:

• At least five years of experience in data science roles, with a focus on the application of AI/ML to forecasting and business decision-making.
• Strong proficiency in programming languages such as Python or R, along with experience working with data manipulation and analysis libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, caret, PyTorch).
• Extensive experience with cloud-based frameworks (Azure or AWS) and data applications (Data Factory, Databricks, etc.)
• Strong proficiency in SQL with a data science orientation
• Extensive hands-on experience in developing and deploying AI/ML models for business applications, such as demand forecasting, inventory optimization, pricing optimization, customer segmentation, or recommender systems.
• Solid understanding of LLM AIs with strong proficiency in prompt engineering.
• Solid understanding of statistical modeling and machine learning algorithms (e.g., regression, classification, clustering)
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques, as well as experience with data visualization tools
• Strong problem-solving skills and ability to translate business requirements into data science solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to both technical and non-technical stakeholders.

Desirable Qualifications:

• Strong analytical mindset and ability to think critically to solve complex problems.
• Proven track record of delivering high-quality data-driven solutions in a fast-paced, agile environment.
• Strong attention to detail and ability to manage multiple projects simultaneously.
• Adaptability and willingness to learn new technologies and techniques.
• Ability to work independently and take ownership of projects, while also collaborating effectively with team members.
• Strong written and verbal communication skills.

Education:

• While sufficiently qualified candidates will be considered regardless of educational background, preference will be given to candidates with a four-year degree in information technology or a post-graduate degree in a quantitative discipline.

Additional Details:

• This is a fully remote position (preferably in Utah or Texas –Austin)
• The successful candidate will have the opportunity to work with a dynamic team of professionals in a fast-growing tech SaaS company specializing in retail software solutions.
• Occasional travel may be required to collaborate with clients or attend conferences and industry events.

Benefits/Perks: 

• Remote  
• Competitive salary 
• Employer-matched 401(k) plan 
• Attractive paid time off policy - Flexible vacation policy