SPS Commerce is seeking to expand its analytics capabilities with advanced modeling and predictive insights to drive smarter business decisions.
Requirements
- 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.
- 3–5 years of experience in data science, analytics, backend development, or cloud infrastructure.
- Experience with big data technologies
- Experience with machine learning frameworks
- Experience with data visualization tools
Responsibilities
- 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, train and manage machine learning models and make necessary adjustments to improve accuracy and efficiency.
- Develop algorithms to analyze data.
Other
- Excellent communication and influencing skills.
- Highly organized with strong attention to detail.
- Prior work in a startup or fast-paced environment.
- Experience presenting to leadership teams.
- Onsite presence 2–3 days per week in Minneapolis, MN office
