[Hiring] Data Scientist @Designed Conveyor Systems

Role Description

We’re hiring a Data Scientist who can solve real operational problems with a mix of applied machine learning, optimization, and analytics. This role is for someone who likes taking ambiguous business questions (time prediction, routing, replenishment, demand estimation, warehouse performance) and turning them into models, algorithms, and decision support that can be deployed and used at scale. You’ll work closely with operations, engineering, and product stakeholders to design solutions that are accurate, explainable, and practical—balancing model performance with latency, maintainability, and business adoption.

Key Responsibilities

• Build and deploy predictive models for operational planning and execution (e.g., cycle time, throughput, labor/time estimation, service levels)
• Develop and improve optimization and decision algorithms (e.g., routing, replenishment, inventory positioning, parameter estimation)
• Design experiments and evaluation frameworks to validate impact (accuracy, latency, cost reduction, productivity lift)
• Translate business workflows into model-ready problem statements, features, and measurable success criteria
• Partner with software engineers to ensure solutions are production-ready (reliable inference, monitoring, versioning, performance tuning)
• Create clear documentation and stakeholder-ready summaries of methodology, assumptions, and results
• Contribute to architecture and scaling decisions for data/ML solutions (performance, robustness, and maintainability)

Qualifications

• 3+ years in data science / applied research / analytics engineering (or equivalent), delivering models or algorithms used in real workflows
• Demonstrated experience in at least one of:
  • Applied ML for operational prediction (time, demand, performance, risk)
  • Operations research / optimization (routing, scheduling, inventory, network/warehouse optimization)
  • Simulation-based analysis for operational decision-making
• Comfortable working cross-functionally and driving work from problem definition through delivery

Skills (Preferred)

• Supply chain / distribution center / manufacturing operations domain experience
• Optimization tooling experience (e.g., CPLEX or similar solvers)
• Experience balancing accuracy with low-latency inference and real-world constraints
• Strong communication skills: can explain tradeoffs and results to technical and non-technical partners

Benefits

• We pride ourselves in our family-like culture and casual, but focused, work environment
• We offer competitive salaries and health benefits
• Our 401K program includes a 100% match up to 5%
• Participation in our Discretionary Profit-Sharing Program
• We offer our employees flexibility and autonomy
• We do community outreach projects throughout the year
• We know how to throw company events
• We work hard, but we also know how to have fun - darts, anyone?