Description:
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 Data Scientist to join our Data Solutions team and help expand SPS’s analytics capabilities with advanced modeling and predictive insights. In this role, you’ll apply your expertise in statistics, machine learning, and modern data technologies to analyze large datasets, uncover patterns, and deliver insights that drive smarter business decisions. You’ll design, test, and maintain models while collaborating across teams to translate technical findings into clear, actionable recommendations for business leaders. This is a unique opportunity to be part of a growing practice and shape the future of data science at SPS.

REQUIRED QUALIFICATIONS

• 3–5 years of experience in data science, analytics, backend development, or cloud infrastructure.
• Experience building scalable, serverless systems and ensuring data quality through automated pipelines.
• Strong background in mathematics and algorithms.
• Experience with SQL, Python, R, Apache Kafka, Snowflake, Lakehouse, Apache Beam, Databricks, or similar technologies.
• Excellent communication and influencing skills.
• Highly organized with strong attention to detail.

PREFERRED QUALIFICATIONS

• Prior work in a startup or fast-paced environment.
• Experience presenting to leadership teams.

• Develop and maintain data models and systems for diverse business problems.
• Build big data collection and analytics capabilities to uncover customer, product, and operational insights.
• Analyze large datasets to uncover actionable insights.
• Perform statistical modeling and exploratory data analysis to uncover insights hidden within vast amounts of data.
• Leverage data analysis to uncover trends, patterns, and provide actionable insights that inform strategic and operational decisions.
• Design, build, trainand manage machine learning models and make necessary adjustments to improve accuracy and efficiency.
• Develop algorithms to analyze data.
• Collaborate with data analysts, engineers, and stakeholders to integrate domain expertise into models.
• Drive technical decisions to meet business problems.
• Ensure pipeline integrity and enforce robust data quality assurance with automated data cleansing and verification.
• Translate complex data challenges and solutions into business impact through automation, modeling, and infrastructure optimization.
• Present findings to technical and non-technical audiences.
• Other duties as assigned