Staff Data Scientist

SPS Commerce, Inc. • Minneapolis, MN

50d • Hybrid

About The Position

SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain! Position Summary: We're seeking a Staff Data Scientist to drive the evolution of SPS's advanced analytics capabilities and lead strategic data science initiatives across the organization. As a senior member of the Data Analytics team, you will guide the development of predictive models, establish data science practices, and collaborate with cross-functional leaders to embed data-driven decision-making into SPS's core operations. This is a high-impact role for a visionary data scientist who thrives in a fast-paced environment and is passionate about shaping the future of analytics at SPS.

Requirements

• 6+ years of experience in data science, machine learning, or advanced analytics.
• Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
• Proven track record of leading data science projects from ideation to production.
• Strong proficiency in Python, SQL, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Snowflake, Databricks).
• Experience with business Intelligence tools (e.g., PowerBI, Tableau, Qlik)
• Deep understanding of statistical modeling, predictive analytics, and algorithm development.
• Excellent communication skills with the ability to influence technical and non-technical audiences.
• Demonstrated ability to mentor junior team members and lead cross-functional initiatives.
• Ability to present data insights in variety of methods to meet needs of stakeholders

Nice To Haves

• Prior experience in a leadership role within a startup or high-growth environment.
• Experience presenting to executive leadership and driving strategic decisions.
• Familiarity with MLOps practices and tools for model deployment and monitoring.
• Prior experience managing others while also performing individual contribution work
• Ability to independently assess business value and align priority accordingly

Responsibilities

• Design and implement scalable machine learning models for classification, regression, clustering, and recommendation systems.
• Develop and optimize data pipelines for feature engineering, model training, and inference using modern cloud and big data technologies.
• Evaluate and select appropriate algorithms and tools, balancing performance, interpretability, and scalability.
• Conduct rigorous statistical analysis and hypothesis testing to support experimentation and business decisions.
• Integrate models into production systems, working closely with data engineers to ensure reliability and performance.
• Mentor and guide a team of data scientists and analysts, establishing a robust data science practice and a culture of technical excellence.
• Present insights and recommendations to senior leadership, translating technical findings into strategic actions.
• Translate business challenges into data science solutions, partnering with stakeholders across product, revenue, technology, finance and HR.
• Stay current with emerging technologies and trends in data science, AI, and analytics.

Benefits

• SPS Commerce offers a comprehensive package of benefits including health, dental, vision, disability and life insurance, paid time-off, 401(k), health and flexible spending accounts, stock purchase plan and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 1,001-5,000 employees