Applicants must be authorized to work for ANY employer in the U.S.
We are unable to sponsor or take over sponsorship of an employment Visa at this time.
About S5
At S5, we are on a mission to make advanced data science consumable for business users. We are a SaaS provider of AI/ML-powered solutions that transform planning and decision-making across the retail and CPG value chain, from strategy to execution.
Our platform enables some of the most sophisticated retailers to operate with precision at scale, bridging the gap between data, insight, and action. As we continue to grow, we are looking for exceptional talent to help shape the next generation of intelligent planning systems.
The Role
S5 is seeking an Analytics Engineer to sit at the intersection of data engineering, analytics, and business impact. This role is critical in transforming raw data into scalable, reliable, and intuitive data models that power our platform, analytics, and client-facing insights.
You will play a key role in enabling and scaling our AI/ML capabilities by supporting the data foundations and pipelines that power intelligent decision-making across the platform. The ideal candidate thrives in a fast-paced, high-growth environment and is excited by the opportunity to build systems that directly influence business outcomes.
What You’ll Do
- Design, build, and optimize scalable data models that power analytics, reporting, and product features
- Develop and maintain robust data pipelines (batch and streaming) to support high-volume, complex datasets
- Support and operationalize machine learning pipelines, including data preparation, feature engineering, and model input/output workflows
- Translate business requirements into clean, well-structured data models and transformations
- Build analytics-ready datasets that enable self-service insights and drive decision-making
- Improve data quality through validation frameworks, testing, and monitoring
- Partner with Product and Client teams to ensure data aligns with real-world workflows and use cases
- Automate manual processes and optimize data delivery for performance and scalability
- Contribute to data standards, documentation, and best practices across the organization
- Support experimentation and advanced analytics use cases, including ML-driven workflows
- Troubleshoot data issues and ensure reliability across the data ecosystem
What We’re Looking For
- Strong expertise in SQL (required) and Python for data transformation and processing
- Proven experience building and optimizing data pipelines and data models in production environments
- Deep understanding of relational databases (columnar and row-based)
- Experience working with large-scale, complex datasets
- Experience supporting or deploying ML/AI workflows in production environments
- Familiarity with feature engineering, model pipelines, or real-time inference systems
- Familiarity with modern data architecture and ELT/ETL frameworks
- Experience with cloud platforms (GCP / OCI)
- Proficiency with Git and modern development workflows
- Experience working with APIs and integrating across multiple data sources
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Must be eligible to work in the U.S. without sponsorship
What Sets You Apart
- Experience in retail, CPG, or supply chain analytics
- Background in consulting or client-facing environments
- Familiarity with analytics engineering tools (e.g., dbt)
- Passion for building data systems that are not just functional—but intuitive and impactful
Why S5
At S5, you won’t just build pipelines—you’ll help define how data drives decisions across an entire industry. You’ll work alongside a team that blends deep retail expertise with cutting-edge technology, solving problems that are both complex and high-impact.
This is an opportunity to:
- Build foundational systems in a rapidly growing company
- Work on AI/ML-driven products with real-world application
- Shape how data is experienced by business users
- Operate in a culture that values ownership, speed, and innovation
There’s never been a more exciting time to join S5.
Applicants must be authorized to work for ANY employer in the U.S.
We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Job Type: Full-time
Benefits:
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Application Question(s):
- Will you now or in the future require sponsorship for employment visa status? (Y or N)
Work Location: Remote
